Cloud Infrastructure Services Market Trends Overview 2025-2032: A new Report by Coherent Market Insights, titled "Cloud Infrastructure Services Market: Industry

Cloud Infrastructure Services Market Set to Witness Significant Growth by 2025-2032 | IBM Cloud ,Oracle Cloud - EIN Presswire

CrowdStrike (NASDAQ: CRWD) today announced it is bringing the power of CrowdStrike Falcon® Cloud Security to Oracle Cloud Infrastructure (OCI). Cloud

CrowdStrike Falcon® Cloud Security Supported on Oracle Cloud Infrastructure | Business Wire

The Cybersecurity and Infrastructure Security Agency (CISA) has issued an urgent advisory regarding CVE-2024-20953, a high-severity deserialization vulnerability in Oracle’s Agile Product Lifecycle Management (PLM) software that is being actively exploited in the wild.

CISA Warns of Oracle Agile Vulnerability Exploited in the Wild

Google Cloud, SAP, and Oracle shine in the Cloud Wars Top 10, showing impressive growth rates for Q4 2025.

Google Cloud #1 Fastest-Growing Major Cloud Vendor; SAP #2, Oracle #3 - Cloud Wars

Oracle Red Bull Racing and 1Password join forces to enhance cybersecurity in Formula 1, ensuring secure access to critical data without compromising speed or performance.

Oracle Red Bull Racing And 1Password Drive Cybersecurity Innovation

Microsoft, Datadog, and Oracle are all still promising long-term investments.

3 Cloud and AI Stocks to Buy Hand Over Fist in February @themotleyfool #stocks $MSFT $ORCL $DDOG

Oracle's Project Vidya initiative will provide training in digital technologies and skills to 5 lakh youth and women by 2028

Oracle to train 5 lakh in AI, ML, GenAI, cloud computing

Oracle has launched an initiative to train 500,000 young Indians in cutting-edge technologies like artificial intelligence (AI), cybersecurity, and Cloud computing by 2028.

Oracle to Train 500,000 Indians in AI and Cloud Tech by 2028

Stargate, a joint venture between ChatGPT creator OpenAI, Oracle and SoftBank, plans to invest up to $500 billion to help the United States stay ahead of China and other competitors in the global AI race. In January, U.S. President Donald Trump announced the private sector investment initiative ...

OpenAI eyeing more data centers in Texas, other states for Stargate, Bloomberg News reports

Oracle on Thursday added another set of artificial intelligence (AI) tools to NetSuite, one of its corporate finance software offerings, including some that might make it faster for consumers to get a price quote on purchases like custom bicycles. Another such task that is common in the business ...

Oracle adds AI pricing features to financial software

Oracle

oracle

How to Build a Chatbot That Tells Medieval Tales Using Oracle’s AI Platform

In the murky world of stolen data, reputation is everything. If a threat actor can’t prove their haul is legitimate, their credibility—and their payday—evaporates. That’s exactly what seems to be happening with the alleged Oracle data breach. On 21 March 2025, CloudSEK’s XVigil discovered a threat actor, "rose87168," selling 6M records exfiltrated from SSO and LDAP of Oracle Cloud. The data includes JKS files, encrypted SSO passwords, key files, and enterprise manager JPS keys. Oracle has been denying the breach and even since then the hacker’s attempts to sell the stolen information on dark web forums, they’re running into unexpected resistance. Buyers aren’t biting. Worse, some are openly questioning whether the breach is real at all. What makes this even more interesting is the creation of a new account on the forum some are claiming is Oracle instigating the false legitimacy of the stolen data. Join me through my research into the current issues with the oracle breach sell. https://www.bleepingcomputer.com/news/security/oracle-customers-confirm-data-stolen-in-alleged-cloud-breach-is-valid/ https://www.bleepingcomputer.com/news/security/oracle-customers-confirm-data-stolen-in-alleged-cloud-breach-is-valid/ The Initial Drop: A High-Profile Target. The threat actor rose87168 first surfaced on a well-known cybercrime forum, boasting possession of a treasure trove of Oracle’s internal data. As with most high-value leaks, they kept the details vague—just enough to spark interest without giving away anything for free. A few redacted samples, a price tag, and a promise that serious buyers could verify before purchase. rose87168 The data breach contains the following items: The data breach contains the following items: You would think that the Oracle breach would be easy to sell but instead of immediate offers, skepticism flooded the thread. Since Oracle has been denying claims of the breach, fellow forum members pressed for more proof, questioning the legitimacy of the dump. This isn’t uncommon—buyers don’t want to be scammed—but in this case, the pushback was unusually aggressive. Shadowed discussions. The discussions surrounding the Oracle data breach is something that is new to me. Usually selling a data dump is straight forward and is a short transaction. The current state is chaotic and full of skepticism among the peers. There are conversations about the hatred for Oracle and their lack of acknowledgement towards the awareness of security weaknesses. One such conversation is about one threat actor disclosing a bug in their database software and Oracle retaliating to audit into an oblivion. Needless to say, I feel that cybercriminal underbelly is not a fan of Oracle for some unknown reason. The shadow in the room. There also another claim that the threat actor is actually an “Insider”. This is just a claim of course but it does add an intriguing twist to this story. The conversation goes into an actor stating that there needs to be at least 10,000 lines of a sample to validate the claim of the breach. Of course, others join in as well. In the same conversation someone named tester27 claims CloudSEK planed the breach? The actor states CloudSEK planned the breach with his employee, and they work as rose aka… the threat actor. They go as far as saying that they have the whole conversation recorded and their partner is Alon Gal. Is there any foundation into this claim? At the moment it is just an accusation, but it does make question if such a thing is true. I mean we have all seen insider threats and crimes before with companies. tester27 I thought that I had seen everything that I was going to see, and this data breach was not going to sell. A new conversation with the threat actor emerged. It was an account that was created on the 3/25/2025 and was instigating with the actor the legitimacy of the data dump. Some were even stating that the new account arguing actually belonged to Oracle or a third party to deter the selling of the data. A Mysterious Challenger Appears One of the most vocal critics was a newly created account that immediately cast doubt on the seller’s claims. The threat actor, already on edge, quickly accused the account of being linked to Oracle. If true, this wouldn’t be the first time a company (or a third-party threat intelligence firm) infiltrated a forum to disrupt a sale. By demanding proof, pointing out inconsistencies, and calling the actor a fraud, the account could be attempting to shake buyer confidence, making the stolen data essentially worthless. The hacker lashed out, insisting that the data was real—but the damage was already done. First, let’s look at the account that is making the accusations. It’s a newly created account, no rank and reputation. These are the accounts that are very suspicious when it comes to transactions and actions. The last thing a new member does is challenge members with rank and reputation. It makes things obvious and suspicious at best. During the conversation, the new account challenges the legitimacy of the data dump, and the threat actor instantly claims the new account is Oracle or a third party. The conversation starts to spread like wildfire and soon most of the members are on the side of Oracle and the new account claiming the data dump is fake. This isn’t just a one-time issue. Selling corporate data is always a gamble. Unlike personal information, which can be quickly monetized, corporate leaks require trust. A buyer has to believe the data has value, that it’s exclusive, and that they aren’t walking into a trap. With Oracle’s name attached, the stakes are even higher. Companies of this size have entire teams dedicated to tracking and mitigating breaches. Any buyer caught dealing in stolen Oracle data could find themselves in legal crosshairs—or worse, buying worthless junk. The Fallout: A Deal in Doubt As of now, the sale remains in limbo. The threat actor, frustrated by the accusations, has doubled down, posting more “proof” in an attempt to salvage the deal. But the damage may already be irreversible. Buyers are hesitant, and if no one steps forward soon, the hacker might be forced to drop the price—or walk away empty-handed. For Oracle, this might be a rare win in the cat-and-mouse game of cybersecurity. If the company (or someone working on its behalf) did manage to poison the well, they’ve effectively neutralized the breach without needing to recover the data itself. But for the hacker? In a market where trust is everything, they may have just learned the hard way that some stolen goods are simply too damaged to sell.

A Leaker Is Trying to Sell Data From the Supposed Oracle Breach But Nobody's Buying

Un secuestrador está tratando de vender datos de la supuesta violación de Oracle pero nadie lo compra

یک افشاکننده در حال تلاش برای فروش داده‌های مربوط به نقض احتمالی اوراکل است اما کسی خرید نمی‌کند

Egy szivárgó megpróbálja eladni az adatokat az állítólagos Oracle-törésből, de senki sem vásárol

Pelecehan mencoba menjual data dari dugaan pelanggaran Oracle tetapi tidak ada yang membeli

A Leaker Is Trying to Sell Data from the Supposed Oracle Breach But Nobody's Buying オラクル侵害のデータを販売しようとしているが、誰も買わない

Nutekėjęs asmuo bando parduoti duomenis iš tariamo „Oracle“ pažeidimo, bet niekas neperka

Miezaka mivarotra angon-drakitra avy amin'ilay heverina ho fanitsakitsahana ny Oracle ny leaker iray nefa tsy nisy nividy

Un leaker încearcă să vândă date din presupusa breșă Oracle, dar nimeni nu cumpără

A Leaker waa in la soo saarka data ka mid ah Oracle dhismaha, laakiin aan la iibsaday

Një zbulues po përpiqet të shesë të dhëna nga shkelja e supozuar e Oracle, por askush nuk po blen

Леакер покушава да прода податке из наводне повреде Орацле-а, али нико не купује

I-Leaker Ufuna ukuthenga idatha evela kwi-Oracle Breach ebizwa ngokuba, kodwa akukho umlinganiselo

Deno vs Oracle: Who Really Owns JavaScript?

Deno vs Oracle: ¿Quién es realmente el propietario de JavaScript?

Deno vs Oracle : à qui appartient réellement JavaScript ?

Deno vs Oracle: quen realmente posúe JavaScript?

Deno vs Oracle: Ki moun ki reyèlman posede JavaScript?

Deno vs Oracle: Kinek van valójában a JavaScript tulajdonosa?

Deno vs Oracle: JavaScript を本当に所有しているのは誰ですか?

Deno ទល់នឹង Oracle៖ តើអ្នកណាជាម្ចាស់ JavaScript?

Deno vs Oracle: JavaScript-ийг үнэхээр хэн эзэмшдэг вэ?

Deno vs Oracle: ඇත්තටම JavaScript අයිති කාටද?

Deno vs Oracle: Yaa runtii leh JavaScript?

Deno vs Oracle: Sino Talaga ang Nagmamay-ari ng JavaScript?

Deno vs Oracle: I Mani Loyi A Nga N'wini Wa JavaScript Hakunene?

Vienna, September 25th, 2024 – Morpher GmbH, a blockchain trading platform for stocks, cryptos, forex, indices and unique markets such as sneakers and watches, has released an open source data oracle to improve access to reliable trading data. A blockchain oracle is a way of bringing data into a blockchain from external sources, including other blockchains. The oracles currently available suffer from the following problems: they have limited data availability, are not actually real-time, and have to battle licensing problems or usability problems (e.g. pull oracle data is visible before its being used). Oracles represent a single point of failure: if one of the currently available oracles goes down, so do all their feeds. This leaves blockchain applications depending on real-world data at a distinct disadvantage against regular platforms. To combat these shortcomings, Morpher’s Oracle has been built as an open source protocol, with multiple data sources aggregated. This allows for an increase in speed, accuracy, and reliability of data, which is a necessity for every settlement platform to operate. The Morpher Oracle comes in two flavors: a pull basedon-chain attestation data-service and a novel intent based oracle for EVM based chains. Both will include Data Feeds for US Equities, Commodities, Forex, and Crypto from the launch. The data is available in real-time, trustable, and able to be licensed to partners/developers. Morpher’s CEO Martin Froehler stated “Existing oracles could not power a real-time trading platform like Morpher. So we developed our own next generation, multi-sourced oracle which we are now making available to other projects on Radix and EVM chains.” Thomas Wiesner, Morpher’s CTO shares his vision for the oracle as "Our vision for the Morpher Oracle is to have the dev community continue to grow its robustness, adding more data streams, increasing the number of chains and further expanding the use cases past what we can currently imagine. We want to give a new tool to bring even more trust into blockchain." “We are super excited to see the release of the Morpher oracle live on Radix and available to use from today onwards - Morpher’s stack has already proven to be incredibly flexible and I look forward to what can be built, using their many data feeds, on Radix in the coming months.”
-Piers Ridyard, CEO of RDX Works Available to use today for all developers and see how quickly and accurately the Radix coin price is shown in USD. About Morpher Morpher, headquartered in Vienna, Austria, has been at the cutting edge of decentralized finance since 2018. The platform empowers users to trade virtual copies of real-world financial markets using its proprietary protocol and MPH token. Supported by prominent investors like Tim Draper, Morpher is dedicated to making global financial markets universally accessible. For more information, visit https://www.morpher.com/new. PR Contact Nick Stein Head of Growth nick@morpher.com +436603172205 Vienna, September 25th, 2024 – Morpher GmbH , a blockchain trading platform for stocks, cryptos, forex, indices and unique markets such as sneakers and watches, has released an open source data oracle to improve access to reliable trading data. Vienna, September 25th, 2024 Morpher GmbH Morpher GmbH open source data oracle open source data oracle A blockchain oracle is a way of bringing data into a blockchain from external sources, including other blockchains. The oracles currently available suffer from the following problems: they have limited data availability, are not actually real-time, and have to battle licensing problems or usability problems (e.g. pull oracle data is visible before its being used). Oracles represent a single point of failure: if one of the currently available oracles goes down, so do all their feeds. This leaves blockchain applications depending on real-world data at a distinct disadvantage against regular platforms. To combat these shortcomings, Morpher’s Oracle has been built as an open source protocol, with multiple data sources aggregated. This allows for an increase in speed, accuracy, and reliability of data, which is a necessity for every settlement platform to operate. The Morpher Oracle comes in two flavors: a pull basedon-chain attestation data-service and a novel intent based oracle for EVM based chains. Both will include Data Feeds for US Equities, Commodities, Forex, and Crypto from the launch. The data is available in real-time, trustable, and able to be licensed to partners/developers. Morpher’s CEO Martin Froehler stated “Existing oracles could not power a real-time trading platform like Morpher. So we developed our own next generation, multi-sourced oracle which we are now making available to other projects on Radix and EVM chains.” Thomas Wiesner, Morpher’s CTO shares his vision for the oracle as "Our vision for the Morpher Oracle is to have the dev community continue to grow its robustness, adding more data streams, increasing the number of chains and further expanding the use cases past what we can currently imagine. We want to give a new tool to bring even more trust into blockchain." “We are super excited to see the release of the Morpher oracle live on Radix and available to use from today onwards - Morpher’s stack has already proven to be incredibly flexible and I look forward to what can be built, using their many data feeds, on Radix in the coming months.” -Piers Ridyard, CEO of RDX Works “We are super excited to see the release of the Morpher oracle live on Radix and available to use from today onwards - Morpher’s stack has already proven to be incredibly flexible and I look forward to what can be built, using their many data feeds, on Radix in the coming months.” -Piers Ridyard, CEO of RDX Works Available to use today for all developers and see how quickly and accurately the Radix coin price is shown in USD. About Morpher Morpher, headquartered in Vienna, Austria, has been at the cutting edge of decentralized finance since 2018. The platform empowers users to trade virtual copies of real-world financial markets using its proprietary protocol and MPH token. Supported by prominent investors like Tim Draper, Morpher is dedicated to making global financial markets universally accessible. For more information, visit https://www.morpher.com/new. https://www.morpher.com/new . https://www.morpher.com/new PR Contact Nick Stein Head of Growth nick@morpher.com nick@morpher.com nick@morpher.com +436603172205

Blockchain Trading Platform Morpher Releases  Open Source Data Oracle

La plataforma de comerç de Blockchain Morpher llança Oracle de dades de codi obert

La plataforma de comercio blockchain Morpher publica datos de código abierto de Oracle

A Morpher Blockchain Kereskedelmi Platform kiadja a nyílt forráskódú Oracle-t

ブロックチェーン取引プラットフォームMorpherがオープンソースデータOracleをリリース

ბლოკჩეინ სავაჭრო პლატფორმა Morpher ავრცელებს ღია კოდის მონაცემთა Oracle-ს

Blockchain Trading Platform Morpher Oracle ачык булак маалыматтарын чыгарат

Blockchain Trading Platform Morpher Oracle-ийн нээлттэй эхийн өгөгдлийг гаргажээ

د بلاکچین سوداګرۍ پلیټ فارم مورفر د خلاصې سرچینې ډیټا اوریکل خپروي

Blockchain Trading Platform Morpher විවෘත මූලාශ්‍ර දත්ත ඔරකල් නිකුත් කරයි

Blockchain Trading Platform Morpher wuxuu siidaayaa Xogta Oracle Isha Furan

Blockchain Ticaret Platformu Morpher Açık Kaynaklı Veri Oracle'ı Yayınladı

区块链交易平台 Morpher 发布开源数据预言机

A Step-by-step guide on how to use the .Net Aspire Oracle component in Visual Studio. .Net Aspire framework is used to develop cloud and production-ready distributed applications. It consists of components to handle cloud-native concerns such as Redis, Postgres, etc. Prerequisites Install .Net 8
Install Visual Studio 2022 version 17 or higher
.Net Aspire Workload
Container runtime such as Docker Desktop 10 Day .Net Aspire Challenge Objectives Learn how to create a starter project using .Net Aspire with the Oracle EF Core component. Github Sample: The solution structure is divided into the following projects:- DotnetAspireChallenge.ApiService
DotnetAspireChallenge.AppHost
DotnetAspireChallenge.ServiceDefaults
DotnetAspireChallenge.Web Getting Started Step 1: Install the following NuGet package Install the following Nuget package into the subsequent project “DotnetAspireChallenge.AppHost” dotnet add package Aspire.Hosting.Oracle In the above project, register a server database and consume the Oracle connection using the following code. var oracle = builder.AddOracle("oracle")
                        .AddDatabase("oracledb");
    
    var apiService = builder.AddProject<Projects.DotnetAspireChallenge_ApiService>("apiservice")
        .WithReference(oracle); Step 2: Install another NuGet package Install the following Nuget package into the subsequent project “DotnetAspireChallenge.ApiService” dotnet add package Aspire.Oracle.EntityFrameworkCore then register the context into the Program.cs file as follows builder.AddOracleDatabaseDbContext<OracleDbContext>("oracledb"); Step 3: Create a “Customer” class public class Customer
    {
        public int Id { get; set; }
        
        [Required]
        public string Title { get; set; } = string.Empty;
        
        [Required]
        public string Description { get; set; } = string.Empty;
    } Step 4: Create an extension class Create an extension class and register a minimal API get method to demonstrate the Oracle EF context usage in the API Service public static class AspireOracleExtension
    {
        public static void MapOracleAspireEndpoint(this WebApplication app)
        {
            app.MapGet("/oracle", async (OracleDbContext oracleDbContext) =>
            {
                  await oracleDbContext.Customer.AddAsync(new Customer()
                  {
                      Title = "test@gmail.com",
                      Description = "sukh"
                  });
                  int rows = await oracleDbContext.SaveChangesAsync();
                  if (rows > 0)
                  {
                      return await oracleDbContext.Customer.FirstOrDefaultAsync();
                  }
                  else
                  {
                      return null;
                  }
            });
    
        }
    }
    
    
    internal class OracleDbContext(DbContextOptions options) : DbContext(options)
    {
        public DbSet<Customer> CustomersPgsql => Set<Customer>();
    } and finally, register in the Program.cs file app.MapOracleAspireEndpoint(); Step 5: Hit the GET endpoint Finally, navigate to the GET URL shown below in your browser. It will insert the specified customer into the Oracle database, retrieve the most recently inserted row, and display it as a response. Add additional connection string properties using the JSON syntax {
      "Aspire": {
        "Oracle": {
          "EntityFrameworkCore": {
            "DisableHealthChecks": true,
            "DisableTracing": true,
            "DisableMetrics": false,
            "DisableRetry": false,
            "Timeout": 30
          }
        }
      }
    } Congratulations..!! You’ve successfully integrated the Oracle component into the .Net Aspire project. Github Project: GitHub - ssukhpinder/DotnetAspireChallenge: 10 Day .Net Aspire Challenge
Cheatsheet: Cheat Sheets — .Net A Step-by-step guide on how to use the .Net Aspire Oracle component in Visual Studio. .Net Aspire framework is used to develop cloud and production-ready distributed applications. It consists of components to handle cloud-native concerns such as Redis , Postgres , etc. Redis Postgres Prerequisites Install .Net 8 Install Visual Studio 2022 version 17 or higher .Net Aspire Workload Container runtime such as Docker Desktop Install .Net 8 .Net 8 Install Visual Studio 2022 version 17 or higher Visual Studio 2022 .Net Aspire Workload Container runtime such as Docker Desktop Docker Desktop 10 Day .Net Aspire Challenge 10 Day .Net Aspire Challenge 10 Day .Net Aspire Challenge Objectives Learn how to create a starter project using .Net Aspire with the Oracle EF Core component. Github Sample : The solution structure is divided into the following projects:- Github Sample DotnetAspireChallenge.ApiService DotnetAspireChallenge.AppHost DotnetAspireChallenge.ServiceDefaults DotnetAspireChallenge.Web DotnetAspireChallenge.ApiService DotnetAspireChallenge.AppHost DotnetAspireChallenge.ServiceDefaults DotnetAspireChallenge.Web Getting Started Step 1: Install the following NuGet package Install the following Nuget package into the subsequent project “ DotnetAspireChallenge.AppHost ” DotnetAspireChallenge.AppHost dotnet add package Aspire.Hosting.Oracle dotnet add package Aspire.Hosting.Oracle In the above project, register a server database and consume the Oracle connection using the following code. var oracle = builder.AddOracle("oracle")
                        .AddDatabase("oracledb");
    
    var apiService = builder.AddProject<Projects.DotnetAspireChallenge_ApiService>("apiservice")
        .WithReference(oracle); var oracle = builder.AddOracle("oracle")
                        .AddDatabase("oracledb");
    
    var apiService = builder.AddProject<Projects.DotnetAspireChallenge_ApiService>("apiservice")
        .WithReference(oracle); Step 2: Install another NuGet package Install the following Nuget package into the subsequent project “ DotnetAspireChallenge.ApiService ” DotnetAspireChallenge.ApiService dotnet add package Aspire.Oracle.EntityFrameworkCore dotnet add package Aspire.Oracle.EntityFrameworkCore then register the context into the Program.cs file as follows builder.AddOracleDatabaseDbContext<OracleDbContext>("oracledb"); builder.AddOracleDatabaseDbContext<OracleDbContext>("oracledb"); Step 3: Create a “Customer” class public class Customer
    {
        public int Id { get; set; }
        
        [Required]
        public string Title { get; set; } = string.Empty;
        
        [Required]
        public string Description { get; set; } = string.Empty;
    } public class Customer
    {
        public int Id { get; set; }
        
        [Required]
        public string Title { get; set; } = string.Empty;
        
        [Required]
        public string Description { get; set; } = string.Empty;
    } Step 4: Create an extension class Create an extension class and register a minimal API get method to demonstrate the Oracle EF context usage in the API Service public static class AspireOracleExtension
    {
        public static void MapOracleAspireEndpoint(this WebApplication app)
        {
            app.MapGet("/oracle", async (OracleDbContext oracleDbContext) =>
            {
                  await oracleDbContext.Customer.AddAsync(new Customer()
                  {
                      Title = "test@gmail.com",
                      Description = "sukh"
                  });
                  int rows = await oracleDbContext.SaveChangesAsync();
                  if (rows > 0)
                  {
                      return await oracleDbContext.Customer.FirstOrDefaultAsync();
                  }
                  else
                  {
                      return null;
                  }
            });
    
        }
    }
    
    
    internal class OracleDbContext(DbContextOptions options) : DbContext(options)
    {
        public DbSet<Customer> CustomersPgsql => Set<Customer>();
    } public static class AspireOracleExtension
    {
        public static void MapOracleAspireEndpoint(this WebApplication app)
        {
            app.MapGet("/oracle", async (OracleDbContext oracleDbContext) =>
            {
                  await oracleDbContext.Customer.AddAsync(new Customer()
                  {
                      Title = "test@gmail.com",
                      Description = "sukh"
                  });
                  int rows = await oracleDbContext.SaveChangesAsync();
                  if (rows > 0)
                  {
                      return await oracleDbContext.Customer.FirstOrDefaultAsync();
                  }
                  else
                  {
                      return null;
                  }
            });
    
        }
    }
    
    
    internal class OracleDbContext(DbContextOptions options) : DbContext(options)
    {
        public DbSet<Customer> CustomersPgsql => Set<Customer>();
    } and finally, register in the Program.cs file app.MapOracleAspireEndpoint(); app.MapOracleAspireEndpoint(); Step 5: Hit the GET endpoint Finally, navigate to the GET URL shown below in your browser. It will insert the specified customer into the Oracle database, retrieve the most recently inserted row, and display it as a response. Add additional connection string properties using the JSON syntax {
      "Aspire": {
        "Oracle": {
          "EntityFrameworkCore": {
            "DisableHealthChecks": true,
            "DisableTracing": true,
            "DisableMetrics": false,
            "DisableRetry": false,
            "Timeout": 30
          }
        }
      }
    } {
      "Aspire": {
        "Oracle": {
          "EntityFrameworkCore": {
            "DisableHealthChecks": true,
            "DisableTracing": true,
            "DisableMetrics": false,
            "DisableRetry": false,
            "Timeout": 30
          }
        }
      }
    } Congratulations..!! You’ve successfully integrated the Oracle component into the .Net Aspire project. Github Project: GitHub - ssukhpinder/DotnetAspireChallenge: 10 Day .Net Aspire Challenge Cheatsheet: Cheat Sheets — .Net Github Project: GitHub - ssukhpinder/DotnetAspireChallenge: 10 Day .Net Aspire Challenge Github Project: GitHub - ssukhpinder/DotnetAspireChallenge: 10 Day .Net Aspire Challenge Cheatsheet: Cheat Sheets — .Net Cheatsheet: Cheat Sheets — .Net

10 Days of .Net Aspire: Day 4 — Using Oracle Component in Visual Studio 

Oracles are another interesting way to customize your experience in the Obyte ecosystem. They're like bridges that connect decentralized networks to the outside world. Distributed ledgers are excellent at securely storing and verifying data, but they can't access real-world information on their own. Oracles solve this by fetching data from external sources and feeding it into their system, enabling smart contracts to interact with real-world events, prices, and information. Oracles work by collecting data from various sources like APIs, websites, sensors, or other off-chain data providers. They upload this data to the chain and then you can find it by the address of the one who posted it (e.g., this is an Obyte oracle address, identical to any other wallet address: I2ADHGP4HL6J37NQAD73J7E5SKFIXJOT). Some oracles use a decentralized approach where multiple data sources are used to ensure accuracy and prevent manipulation. This mechanism helps ensure that the data is trustworthy and tamper-proof. On the other hand, you can easily set up your own personal oracle (data feed) for your specific use case, or let it be created by a close party, like a member of your family or coworker. This way, the oracle can offer any personalized information you can count on to make transactions among your inner circle, or with business partners. In Obyte, it’s possible to create your own oracle in a few minutes, without coding or technical steps. Potential Uses The use cases for oracles are vast and varied. In finance, they can provide real-time price feeds for cryptocurrencies and traditional assets, enabling decentralized finance (DeFi) applications like lending, trading, and insurance. In supply chain management, oracles can track and verify the status of goods in transit. They can also be used in gaming to bring in real-world events to affect gameplay, or in weather forecasting to trigger payouts in weather-based insurance policies. As for a personal oracle, the uses are only defined by yourself, because the data can only come from yourself. For instance, we can register the successful completion of a specific task by Alice (a daughter, a coworker, a partner, etc.). A conditional payment from the wallet could use this information to release funds automatically if we use that oracle address (the wallet address of the oracle operator) to create the smart contract (Chat – [Registered Contact] - Recipient’s address – Offer smart contract). **  ** Human or customized oracles could also work for rewards in family tokens. For example, parents can create an oracle that tracks if specific tasks are completed by their children. A supervisor (such as a parent) can create an oracle by sending data into the Obyte DAG, such as a task's completion status. When a child completes a task, the supervisor updates the oracle with a value like "Yes." The family token system can then automatically trigger a reward, sending the predefined tokens from the family treasury to the child’s wallet as a reward for completing the task. The same principle could apply to anything you like to use it for. Steps without coding First of all, you’ll need to download and back up an Obyte wallet, available as a light app for desktop and mobile. Next, in the “Receive” section, you can click “Get Me Coins” to buy some GBYTEs, needed for transaction fees —you’ll need around $0.00001 per transaction. There are other ways to buy GBYTEs with traditional money, and you can consult them in this full guide. Once the app is installed and with some GBYTEs available to spend, go to the “Send” section of the wallet. At the top of this page, you should see “What to send,” and a list below. From that list, instead of any asset, select “Data into datafeed (searchable).” To advance further, your account needs to be of a single address. If it’s not, then you’ll need to switch to your already created single-address account or create a new one from the main menu (Add account – Plain Account – Single Address Account). All new accounts are single-address by default. Beyond this, you’ll only need to fill the values of your data feed (oracle) in any way you want, including a name/title, and a result/answer. For instance, the name could be “Mary’s task,” and the result could be “Done.” Press “Send,” type your password if required, and that’s it! A small transaction fee will be taken from your wallet, and the oracle will be published on the Obyte DAG, available for everyone to consult —including smart contracts. **  ** Creating your own oracle here is easy, fast, secure, and inexpensive. Now, if you know how to code and want to make it more advanced, you can always check our documentation to create an oracle from scratch. Featured Vector Image by Freepik Oracles are another interesting way to customize your experience in the Obyte ecosystem. They're like bridges that connect decentralized networks to the outside world. Distributed ledgers are excellent at securely storing and verifying data, but they can't access real-world information on their own. Oracles solve this by fetching data from external sources and feeding it into their system, enabling smart contracts to interact with real-world events, prices, and information. Oracles work by collecting data from various sources like APIs, websites, sensors, or other off-chain data providers. They upload this data to the chain and then you can find it by the address of the one who posted it (e.g., this is an Obyte oracle address, identical to any other wallet address: I2ADHGP4HL6J37NQAD73J7E5SKFIXJOT). Some oracles use a decentralized approach where multiple data sources are used to ensure accuracy and prevent manipulation. This mechanism helps ensure that the data is trustworthy and tamper-proof. They upload this data to the chain and then you can find it by the address of the one who posted it On the other hand, you can easily set up your own personal oracle (data feed) for your specific use case, or let it be created by a close party, like a member of your family or coworker. This way, the oracle can offer any personalized information you can count on to make transactions among your inner circle, or with business partners. In Obyte, it’s possible to create your own oracle in a few minutes, without coding or technical steps. Potential Uses The use cases for oracles are vast and varied. In finance, they can provide real-time price feeds for cryptocurrencies and traditional assets, enabling decentralized finance (DeFi) applications like lending, trading, and insurance. In supply chain management, oracles can track and verify the status of goods in transit. They can also be used in gaming to bring in real-world events to affect gameplay, or in weather forecasting to trigger payouts in weather-based insurance policies. As for a personal oracle, the uses are only defined by yourself, because the data can only come from yourself. For instance, we can register the successful completion of a specific task by Alice (a daughter, a coworker, a partner, etc.). A conditional payment from the wallet could use this information to release funds automatically if we use that oracle address (the wallet address of the oracle operator) to create the smart contract (Chat – [Registered Contact] - Recipient’s address – Offer smart contract). As for a personal oracle, the uses are only defined by yourself, because the data can only come from yourself. the smart contract the smart contract ** ** Human or customized oracles could also work for rewards in family tokens . For example, parents can create an oracle that tracks if specific tasks are completed by their children. A supervisor (such as a parent) can create an oracle by sending data into the Obyte DAG, such as a task's completion status. family tokens family tokens When a child completes a task, the supervisor updates the oracle with a value like "Yes." The family token system can then automatically trigger a reward, sending the predefined tokens from the family treasury to the child’s wallet as a reward for completing the task. The same principle could apply to anything you like to use it for. Steps without coding Steps without coding First of all, you’ll need to download and back up an Obyte wallet , available as a light app for desktop and mobile. Next, in the “Receive” section, you can click “ Get Me Coins ” to buy some GBYTEs, needed for transaction fees —you’ll need around $0.00001 per transaction. There are other ways to buy GBYTEs with traditional money, and you can consult them in this full guide . Obyte wallet Obyte wallet Get Me Coins Get Me Coins this full guide this full guide Once the app is installed and with some GBYTEs available to spend, go to the “Send” section of the wallet. At the top of this page, you should see “What to send,” and a list below. From that list, instead of any asset, select “Data into datafeed (searchable).” To advance further, your account needs to be of a single address. If it’s not, then you’ll need to switch to your already created single-address account or create a new one from the main menu (Add account – Plain Account – Single Address Account). All new accounts are single-address by default. Once the app is installed and with some GBYTEs available to spend, go to the “Send” section of the wallet. Beyond this, you’ll only need to fill the values of your data feed (oracle) in any way you want, including a name/title, and a result/answer. For instance, the name could be “Mary’s task,” and the result could be “Done.” Press “Send,” type your password if required, and that’s it! A small transaction fee will be taken from your wallet, and the oracle will be published on the Obyte DAG , available for everyone to consult —including smart contracts. Obyte DAG Obyte DAG ** ** Creating your own oracle here is easy, fast, secure, and inexpensive. Now, if you know how to code and want to make it more advanced, you can always check our documentation to create an oracle from scratch. our documentation our documentation Featured Vector Image by Freepik Featured Vector Image by Freepik Freepik Freepik

Educational Byte: How to and why create your own oracle on Obyte?

শিক্ষাগত বাইট: কীভাবে এবং কেন ওবাইটে আপনার নিজের ওরাকল তৈরি করবেন?

Bildungsbyte: Wie und warum erstellen Sie Ihr eigenes Orakel auf Obyte?

Byte educativo: ¿Cómo y por qué crear tu propio oráculo en Obyte?

Educational Byte : Comment et pourquoi créer son propre oracle sur Obyte ?

शैक्षिक बाइट: ओबाइट पर अपना स्वयं का ओरेकल कैसे और क्यों बनाएं?

教育バイト: Obyte で独自のオラクルを作成する方法とその理由

Educational Byte: Obyte에서 자신만의 오라클을 만드는 방법과 이유는 무엇입니까?

Byte Educacional: Como e por que criar seu próprio oráculo no Obyte?

Educational Byte: Как и зачем создать свой собственный оракул на Obyte?

Eğitim Baytı: Obyte'de kendi kehanetinizi nasıl ve neden yaratabilirsiniz?

Byte giáo dục: Làm thế nào và tại sao lại tạo oracle của riêng bạn trên Obyte?

教育字节：如何以及为什么在 Obyte 上创建自己的 oracle？

I was inspired to write this blog post after reading a paper called "The Oracle Problem — Why Decentralising Everything is More Difficult than it Sounds" by Victor Hogrefe. As the title suggests, Victor argues that there are no good solutions for handling oracles on the blockchain. It may have been true six years ago when the paper was written, so kudos to Victor for proposing some potential ones back then. However, what struck me the most was that the author failed to consider that the oracles themselves can be decentralized. In this post, I'll explain why it's actually "not that difficult" to decentralize everything and how this issue has already been solved with the help of decentralized oracles. But first, let's take a small step back and learn what oracles are exactly. The Role Of Oracles Smart contracts are designed in a way to provide deterministic results. Their job is to take input, execute logic, and modify the state of the blockchain irreversibly. But the majority of events still happen off-chain. Allowing smart contracts to interact with these events has always been a double-edged sword. On one hand, this significantly increases the potential blockchain use cases but on the other —  poses serious security risks and trust issues. Oracles are here to help. They act as a bridge between blockchains and the external world and enable smart contracts to execute code based on real-world events and conditions. For example, to be able to bet on the outcome of a tennis match between Roger Federer and Novak Djokovic, you need a way to tell the smart contract who won. Since we don't live in the Metaverse yet, a smart contract can't know the outcome of the match — someone has to tell it who the winner is, so that the contract can payout to the winners. The big question is: who will be the one to tell the smart contract who won? We would need to trust this person or entity to be correct and honest... But wait a minute... Trust? That's not how things work in Web3. We don't want to trust. We want trustless. Decentralized Oracles In the original paper I mentioned in the beginning, the author overlooks the possibility of oracles being decentralized and is rather focused on discussing different algorithmic solutions, weaknesses, and potential attack vectors. What he doesn't consider is that the oracles themselves can be decentralized. Decentralized oracles, unlike the normal ones, rely on multiple independent nodes to fetch and validate information. This means there's no single point of failure, making it much harder to compromise the system. By using various mechanisms, such as multiple data sources, multiple oracles, or the need to have a stake in the system, decentralized oracles can prevent different sorts of malicious attacks, data corruption, or bribery. One such mechanism has been implemented by the UMA Protocol. UMA's Optimistic Oracles UMA is a leader in the oracles space, alongside Chainlink, which is the largest oracle protocol in the world. UMA's oracle system consists of two main components: the Optimistic Oracle and the Data Verification Mechanism (DVM). The principle is straightforward: anyone can submit an answer on-chain, and a dispute arises only if the answer is incorrect. The first layer of UMA's oracle system is the Optimistic Oracle. This layer is designed to quickly verify data optimistically, meaning that all submitted statements are true by default unless challenged. The second layer is the DVM (Data Verification Mechanism), which serves as a fallback for the Optimistic Oracle by resolving disputes if they occur. The entire system is efficient and cheap because it aims to prevent disputes in the first place. Here’s how it works: A smart contract requests a piece of data and sets a dispute period.
A proposer posts a bond and submits the data.
If no one disputes the data within the dispute period, the data is finalized, and the proposer gets their bond back.
If a dispute arises, the disputer posts a bond equal to the proposer’s bond and escalates the dispute to the DVM.
UMA token holders resolve the dispute within 48 hours. If the disputer is correct, they receive the proposer's bond as a reward, and vice versa. Use Cases Apart from the obvious use cases for oracles in DeFi, UMA's optimistic oracles offer much more flexibility, as practically anything can be submitted as a data point. Here are some projects that utilize UMA's Optimistic Oracles: Polymarket Polymarket is a decentralized predictions market, one of the most prominent DeFi apps lately. On Polymarket, you can place your bets on pretty much anything — from the winner of the Presidential Elections in 2024 to how many tweets Elon Musk will post this month Sherlock Sherlock is a risk management platform designed for DeFi. They run extensive DeFi audit contests where many security researchers compete for a bug bounty. Cozy Cosy is an open-source insurance protocol that allows users to provide and receive protection against predefined conditions, like a loss of funds or smart contract hacks. The use cases are quite diverse already and with the upcoming RWA narrative, the amount of projects using UMA's OOs will only get bigger. RWA Tokenization RWA tokenization is one of the most promising opportunities in crypto. It has the potential to unlock multi-trillion dollar markets and onboard millions of people into DeFi. Major institutions are launching tokenized funds, and the role of Oracles in this market is as important as it's ever been. Blackrock's BUIDL fund uses Chainlink to track real-world assets like US Treasury bill prices, dollar yields, etc. It allows investors to purchase tokens representing shares in the fund with "safe" assets and offers unmatched liquidity. As the sector grows, the demand for fast and accurate Oracle infrastructure and reliable data will grow significantly. Protocols like Chainlink, UMA, and Pyth are well-positioned to capture the majority of this market share. Conclusion We brought smart contracts to the world; now, it's time to bring the world into smart contracts. Allowing smart contracts to interact with the outside world seems like the next logical step in blockchain development. While DeFi remains one of the most promising and straightforward ways to onboard the next billion users, there are many ways in which oracles can be used: they can provide real-world data for various applications, from financial products and insurance to gaming and supply chain management. Decentralized oracles ensure that this data is accurate and trustworthy without relying on a single point of failure, opening a world of new possibilities for the technology. I was inspired to write this blog post after reading a paper called " The Oracle Problem — Why Decentralising Everything is More Difficult than it Sounds" by Victor Hogrefe. The Oracle Problem As the title suggests, Victor argues that there are no good solutions for handling oracles on the blockchain. It may have been true six years ago when the paper was written, so kudos to Victor for proposing some potential ones back then. good solutions However, what struck me the most was that the author failed to consider that the oracles themselves can be decentralized. In this post, I'll explain why it's actually "not that difficult" to decentralize everything and how this issue has already been solved with the help of decentralized oracles. But first, let's take a small step back and learn what oracles are exactly. The Role Of Oracles Smart contracts are designed in a way to provide deterministic results. Their job is to take input, execute logic, and modify the state of the blockchain irreversibly. But the majority of events still happen off-chain. Allowing smart contracts to interact with these events has always been a double-edged sword. On one hand, this significantly increases the potential blockchain use cases but on the other —  poses serious security risks and trust issues. Oracles are here to help. They act as a bridge between blockchains and the external world and enable smart contracts to execute code based on real-world events and conditions. For example, to be able to bet on the outcome of a tennis match between Roger Federer and Novak Djokovic, you need a way to tell the smart contract who won. Since we don't live in the Metaverse yet, a smart contract can't know the outcome of the match — someone has to tell it who the winner is, so that the contract can payout to the winners. know The big question is: who will be the one to tell the smart contract who won? We would need to trust this person or entity to be correct and honest... But wait a minute... Trust? trust Trust? That's not how things work in Web3. We don't want to trust. We want trustless. trustless. Decentralized Oracles In the original paper I mentioned in the beginning, the author overlooks the possibility of oracles being decentralized and is rather focused on discussing different algorithmic solutions, weaknesses, and potential attack vectors. What he doesn't consider is that the oracles themselves can be decentralized. Decentralized oracles, unlike the normal ones, rely on multiple independent nodes to fetch and validate information. This means there's no single point of failure, making it much harder to compromise the system. By using various mechanisms, such as multiple data sources, multiple oracles, or the need to have a stake in the system, decentralized oracles can prevent different sorts of malicious attacks, data corruption, or bribery. One such mechanism has been implemented by the UMA Protocol. UMA's Optimistic Oracles UMA is a leader in the oracles space, alongside Chainlink, which is the largest oracle protocol in the world. UMA's oracle system consists of two main components: the Optimistic Oracle and the Data Verification Mechanism (DVM). The principle is straightforward: anyone can submit an answer on-chain, and a dispute arises only if the answer is incorrect. The first layer of UMA's oracle system is the Optimistic Oracle. This layer is designed to quickly verify data optimistically, meaning that all submitted statements are true by default unless challenged. The second layer is the DVM (Data Verification Mechanism), which serves as a fallback for the Optimistic Oracle by resolving disputes if they occur. The entire system is efficient and cheap because it aims to prevent disputes in the first place. Here’s how it works: A smart contract requests a piece of data and sets a dispute period. A proposer posts a bond and submits the data. If no one disputes the data within the dispute period, the data is finalized, and the proposer gets their bond back. If a dispute arises, the disputer posts a bond equal to the proposer’s bond and escalates the dispute to the DVM. UMA token holders resolve the dispute within 48 hours. If the disputer is correct, they receive the proposer's bond as a reward, and vice versa. A smart contract requests a piece of data and sets a dispute period. A proposer posts a bond and submits the data. If no one disputes the data within the dispute period, the data is finalized, and the proposer gets their bond back. If a dispute arises, the disputer posts a bond equal to the proposer’s bond and escalates the dispute to the DVM. UMA token holders resolve the dispute within 48 hours. If the disputer is correct, they receive the proposer's bond as a reward, and vice versa. Use Cases Apart from the obvious use cases for oracles in DeFi, UMA's optimistic oracles offer much more flexibility, as practically anything can be submitted as a data point. anything Here are some projects that utilize UMA's Optimistic Oracles: Polymarket Polymarket is a decentralized predictions market, one of the most prominent DeFi apps lately. On Polymarket, you can place your bets on pretty much anything — from the winner of the Presidential Elections in 2024 to how many tweets Elon Musk will post this month Sherlock Sherlock is a risk management platform designed for DeFi. They run extensive DeFi audit contests where many security researchers compete for a bug bounty. Cozy Cosy is an open-source insurance protocol that allows users to provide and receive protection against predefined conditions, like a loss of funds or smart contract hacks. The use cases are quite diverse already and with the upcoming RWA narrative, the amount of projects using UMA's OOs will only get bigger. RWA Tokenization RWA tokenization is one of the most promising opportunities in crypto. It has the potential to unlock multi-trillion dollar markets and onboard millions of people into DeFi. Major institutions are launching tokenized funds, and the role of Oracles in this market is as important as it's ever been. Blackrock's BUIDL fund uses Chainlink to track real-world assets like US Treasury bill prices, dollar yields, etc. It allows investors to purchase tokens representing shares in the fund with " safe " assets and offers unmatched liquidity. safe As the sector grows, the demand for fast and accurate Oracle infrastructure and reliable data will grow significantly. Protocols like Chainlink, UMA, and Pyth are well-positioned to capture the majority of this market share. Conclusion We brought smart contracts to the world; now, it's time to bring the world into smart contracts. Allowing smart contracts to interact with the outside world seems like the next logical step in blockchain development. While DeFi remains one of the most promising and straightforward ways to onboard the next billion users, there are many ways in which oracles can be used: they can provide real-world data for various applications, from financial products and insurance to gaming and supply chain management. Decentralized oracles ensure that this data is accurate and trustworthy without relying on a single point of failure, opening a world of new possibilities for the technology.

The Oracle Solution: Why Decentralizing Everything Is Less Difficult Than it Sounds

ওরাকল সমাধান: কেন সবকিছুর বিকেন্দ্রীকরণ শোনার চেয়ে কম কঠিন

Die Oracle-Lösung: Warum die Dezentralisierung des Ganzen weniger schwierig ist, als es klingt

La solución de Oracle: por qué descentralizar todo es menos difícil de lo que parece

La solution Oracle : pourquoi tout décentraliser est moins difficile qu'il n'y paraît

ऑरेकल समाधान: सब कुछ विकेंद्रीकृत करना जितना लगता है उससे कम कठिन क्यों है

Oracle ソリューション: すべてを分散化することが思ったほど難しくない理由

Oracle 솔루션: 모든 것을 분산화하는 것이 생각보다 덜 어려운 이유

A solução Oracle: por que descentralizar tudo é menos difícil do que parece

Решение Oracle: почему децентрализация всего проще, чем кажется

Oracle Çözümü: Her Şeyi Merkezi Olmayan Hale Getirmek Neden Sanıldığından Daha Kolaydır?

Giải pháp của Oracle: Tại sao việc phân cấp mọi thứ lại ít khó khăn hơn bạn tưởng

预言机解决方案：为何去中心化一切并没有听起来那么困难

Step 1: Install the necessary libraries To connect to a database and query data, you need to install the following two libraries: pandas: A Python library for data analysis, including functions for reading and writing data.
sqlalchemy: A Python library for interacting with relational databases, allowing you to use Python with various databases. You can install these libraries using the following command in the command prompt or terminal: pip install pandas
pip install sqlalchemy Step 2: Connect to the database Connecting to a database requires the following information: Database Type: The type of database you want to connect to, such as MySQL, PostgreSQL, etc.
Host Name: The host name or IP address where the database is located.
Port Number: The port number of the database, usually the default port number.
Username: The username required to connect to the database.
Password: The password required to connect to the database.
Database Name: The name of the database you want to connect to. You can use the following Python code to connect to the database: from sqlalchemy import create_engine

# Connect to a MySQL database
engine = create_engine('mysql://username:password@hostname:port/databasename')

# Connect to a PostgreSQL database
engine = create_engine('postgresql://username:password@hostname:port/databasename')

# Connect to an Oracle database, requires cx_Oracle library to be installed
engine = create_engine('oracle+cx_oracle://username:password@hostname:port/databasename') Step 3: Query data using the read_sql function Use the read_sql function from pandas to query data from the database. The read_sql function requires two parameters: SQL Query: The SQL query you want to execute.
Database Connection: The database connection you created earlier. Here is an example of querying data: import pandas as pd

# Execute SQL query and store the result in a DataFrame
df = pd.read_sql('SELECT * FROM mytable', engine)

# Print the DataFrame
print(df) Thank you for taking the time to explore data-related insights with me. I appreciate your engagement. If you find this information helpful, I invite you to follow me or connect with me on LinkedIn or X(@Luca_DataTeam). Happy exploring!👋 Step 1: Install the necessary libraries To connect to a database and query data, you need to install the following two libraries: pandas: A Python library for data analysis, including functions for reading and writing data. sqlalchemy: A Python library for interacting with relational databases, allowing you to use Python with various databases. pandas : A Python library for data analysis, including functions for reading and writing data. pandas sqlalchemy : A Python library for interacting with relational databases, allowing you to use Python with various databases. sqlalchemy You can install these libraries using the following command in the command prompt or terminal: pip install pandas
pip install sqlalchemy pip install pandas
pip install sqlalchemy Step 2: Connect to the database Connecting to a database requires the following information: Database Type: The type of database you want to connect to, such as MySQL, PostgreSQL, etc. Host Name: The host name or IP address where the database is located. Port Number: The port number of the database, usually the default port number. Username: The username required to connect to the database. Password: The password required to connect to the database. Database Name: The name of the database you want to connect to. Database Type : The type of database you want to connect to, such as MySQL, PostgreSQL, etc. Database Type Host Name : The host name or IP address where the database is located. Host Name Port Number : The port number of the database, usually the default port number. Port Number Username : The username required to connect to the database. Username Password : The password required to connect to the database. Password Database Name : The name of the database you want to connect to. Database Name You can use the following Python code to connect to the database: from sqlalchemy import create_engine

# Connect to a MySQL database
engine = create_engine('mysql://username:password@hostname:port/databasename')

# Connect to a PostgreSQL database
engine = create_engine('postgresql://username:password@hostname:port/databasename')

# Connect to an Oracle database, requires cx_Oracle library to be installed
engine = create_engine('oracle+cx_oracle://username:password@hostname:port/databasename') from sqlalchemy import create_engine

# Connect to a MySQL database
engine = create_engine('mysql://username:password@hostname:port/databasename')

# Connect to a PostgreSQL database
engine = create_engine('postgresql://username:password@hostname:port/databasename')

# Connect to an Oracle database, requires cx_Oracle library to be installed
engine = create_engine('oracle+cx_oracle://username:password@hostname:port/databasename') Step 3: Query data using the read_sql function Use the read_sql function from pandas to query data from the database. The read_sql function requires two parameters: SQL Query: The SQL query you want to execute. Database Connection: The database connection you created earlier. SQL Query : The SQL query you want to execute. SQL Query Database Connection : The database connection you created earlier. Database Connection Here is an example of querying data: import pandas as pd

# Execute SQL query and store the result in a DataFrame
df = pd.read_sql('SELECT * FROM mytable', engine)

# Print the DataFrame
print(df) import pandas as pd

# Execute SQL query and store the result in a DataFrame
df = pd.read_sql('SELECT * FROM mytable', engine)

# Print the DataFrame
print(df) Thank you for taking the time to explore data-related insights with me. I appreciate your engagement. If you find this information helpful, I invite you to follow me or connect with me on LinkedIn or X (@Luca_DataTeam). Happy exploring!👋 LinkedIn X

How to Connect to Oracle, MySql and PostgreSQL Databases Using Python

Introduction Proficiency in database management is an essential skill for data analysts. Oftentimes, colleagues from different departments need quick access to specific datasets, making the traditional method of exporting Excel files from databases inefficient and time-consuming. A more effective approach involves creating new user accounts in the database and granting them appropriate viewing rights. This allows colleagues to seamlessly connect to the database using tools like Power BI or Power Query, enabling them to access necessary data tables promptly and efficiently. This streamlined process fosters collaboration and supports decision-making across organizational departments. data-driven Creating a new user To create a new user in the Oracle database, you can execute the following SQL command: CREATE USER 'USERNAME' IDENTIFIED BY 'PASSWORD'; For example: CREATE USER TEST_USER IDENTIFIED BY TEST123; Granting the Connect Role After creating a new user, attempting to connect may result in an error message: [72000][1045] ORA-01045: user TEST_USER lacks CREATE SESSION privilege; logon denied To enable the user to connect to the database, you must grant the CONNECT role: GRANT CONNECT TO TEST_USER; Merely connecting is not enough - make sure to grant the RESOURCE privilege to allow access to the tables. GRANT CONNECT, RESOURCE TO TEST_USER; Table privilege To grant specific privileges on tables to a user, you can utilize the GRANT command on specific table TO user. For example: GRANT SELECT ON schema.table_name TO TEST_USER; If you wish to provide the user with options beyond selection, such as insertion, updating, and deletion, you may proceed with the execution of the following command. GRANT SELECT, INSERT, UPDATE, DELETE ON schema.table_name TO TEST_USER; Delete a user To remove a user from the database, you can execute the following SQL command: DROP USER TEST_USER; Thank you for taking the time to explore data-related insights with me. I appreciate your engagement. If you find this information helpful, I invite you to follow me or connect with me on or (@Luca_DataTeam). You can also catch glimpses of my personal life on , Happy exploring!👋 LinkedIn X Instagram Also published . here

Database Management: Creating and Granting User Access in Oracle

Using Python to Save a Dataframe into Oracle Database You can use the library in combination with the and libraries to save a dataframe to an Oracle database in Python. pandas sqlalchemy cx_Oracle import pandas as pd
from sqlalchemy import create_engine
import cx_Oracle

# Create an SQLAlchemy engine using the connection
engine = create_engine('oracle://username:password@hostname:port/service_name')

# Save the dataframe to the Oracle database and lowercase your_table_name 
df.to_sql('your_table_name', con=engine, if_exists='replace', index=False) Replace , , , , and with your actual Oracle database credentials and connection details. 'username' 'password' 'hostname' 'port' 'service_name' Please replace with the actual lowercase name of the table in your Oracle database. Otherwise, you may encounter . your_table_name InvalidRequestError: Could not reflect: requested table(s) not available in Engine When you run this script, it will establish a connection to the database, create a sample dataframe, and then save the dataframe to the specified table in the Oracle database. Oracle Make sure the table structure has been created in the database before proceeding. Option 1: Create Table Structure using SQL Keep in mind that you will need to create the table structure in the Oracle database before attempting to save the dataframe to it. The table structure should match the structure of the dataframe in terms of column names and data types. You can create the table structure in your Oracle database using SQL. Here's an example of how you might create a table in Oracle to match the structure of your dataframe: CREATE TABLE your_table_name (
    column1_name  column1_data_type,
    column2_name  column2_data_type,
    ...
); Option 2: Create Table Structure using Python You can run the SQL script in Python using the method provided by the SQLAlchemy library. Here's an example of how you can execute an SQL script after creating the engine: engine.execute() from sqlalchemy import create_engine

# Create an engine
engine = create_engine('oracle://username:password@hostname:port/database_name')

# SQL script to create a table
sql_script =
CREATE TABLE your_table_name (
    column1_name  column1_data_type,
    column2_name  column2_data_type,
    ...
);

# Execute the SQL script
with engine.connect() as connection:
    connection.execute(sql_script) Make sure to replace , , , etc., with your actual table and column names and data types. your_table_name column1_name column1_data_type Conclusion Once the table structure is in place, you can then use the method I mentioned earlier to save the dataframe to the Oracle database. The method will automatically insert the data from the dataframe into the existing table in the database as long as the column names and data types match. to_sql Thank you for taking the time to explore data-related insights with me. I appreciate your engagement. If you find this information helpful, I invite you to follow me or connect with me on . Happy exploring!👋 LinkedIn

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