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# javidatatech.com

## Sitemaps

- [XML Sitemap](https://www.javidatatech.com/sitemap.xml): Contains all public & indexable URLs for this website.

## Posts

- [Lakehouse Control Room: Your First Step into Agentic Data Engineering with Oracle and OpenClaw](https://www.javidatatech.com/lakehouse-control-room-your-first-step-into-agentic-data-engineering-with-oracle-and-openclaw/) - Most lakehouse conversations start with a beautiful architecture diagram. There is an object storage layer, a database or query engine, open table formats, governance, security, pipelines, and maybe some AI on top. On paper, everything makes sense. Then you try to build the first working version, and that is when the real friction starts.You need
- [Using OpenAI Codex and MCP to Build Autonomous AI Lakehouse Data Transforms Pipelines](https://www.javidatatech.com/using-openai-codex-and-mcp-to-build-autonomous-ai-lakehouse-data-transforms-pipelines/) - Even though Oracle Data Transforms gives you a perfectly good graphical interface to design pipelines, I’ve always felt more comfortable having things in code. For me, versioning, reviewing changes, and maintaining data flows over time is simply easier when everything lives in Python instead of clicks. So instead of building this pipeline through the UI,
- [I connected Gemini CLI to Oracle Autonomous!](https://www.javidatatech.com/i-connected-gemini-cli-to-oracle-autonomous/) - When I saw the announcement that Gemini CLI now supports Oracle, I immediately wanted to try it. I’ve been following the evolution of CLI-based AI workflows for developers and data engineers, so seeing Oracle in the mix felt like the perfect excuse to test it in a real setup. I didn’t want to try it
- [7 reasons to choose Autonomous AI Lakehouse](https://www.javidatatech.com/7-reasons-to-choose-autonomous-ai-lakehouse/) - Most lakehouse conversations still start in the wrong place: feature lists, vendor comparisons, and tool checklists.In practice, the teams that win aren’t the ones who collect the most tools. They’re the ones who keep the architecture simple enough to move fast, keep costs predictable, and publish data products without turning every new requirement into another
- [Data Products in Oracle Autonomous AI Lakehouse: 4 different ways to share data](https://www.javidatatech.com/data-products-in-oracle-autonomous-ai-lakehouse-4-different-ways-to-share-data/) - Most companies don’t fail at data because they lack data.They fail because data is hard to consume.Someone asks a simple question (“Can I get the sales dataset?”) and suddenly you’re stuck in a mess of files, copies, permissions, unclear ownership, and the classic: “Is this the latest version?”That’s what a data product fixes.A data product
- [Open Data Pipelines with Oracle Autonomous Database and Delta Sharing](https://www.javidatatech.com/open-data-pipelines-with-oracle-autonomous-database-and-delta-sharing/) - Modern data architectures demand more than pipelines. They need a platform that can connect to anything, process everything, and share everywhere—without the overhead of manual tuning or endless integration work. That’s exactly what Oracle Autonomous Database (ADB) delivers.ADB is not just a database—it’s a self-driving data platform that brings together ingestion, transformation, analytics, AI, and
- [Supercharge Apache Iceberg Tables on Autonomous with AI Table Assist](https://www.javidatatech.com/supercharge-apache-iceberg-tables-on-autonomous-with-ai-table-assist/) - In my previous post, I showed how to connect Oracle Autonomous Database with Apache Iceberg. The setup was simple, and the integration was up and running in no time. But let’s be honest—that was just the beginning.This time, we’re going further. We’re going to make those Iceberg tables smarter. Not by writing long SQL scripts
- [Create your AI profile for Data Studio](https://www.javidatatech.com/create-your-ai-profile-for-data-studio/) - In this post, you’ll see how to select and configure your AI Profile in Data Studio’s Data Preferences—a step that may seem minor, but is absolutely essential. This configuration establishes secure connectivity to AI services, enables translations and PII detection during data load jobs, and powers conversational AI features in Data Studio such as Table
- [Consume REST data using Data Transforms](https://www.javidatatech.com/consume-rest-data-using-data-transforms/) - Working with data from REST APIs doesn’t have to be a hassle—especially if you’re using Oracle Autonomous Data Transforms. Whether you’re pulling data from a public API or integrating with a third-party service, Oracle makes it surprisingly easy to bring that information right into your database. In this post, I’ll show you how to consume
- [5 Oracle Autonomous Database Advanced Features Made Easy with AI & MCP](https://www.javidatatech.com/5-oracle-autonomous-database-advanced-features-made-easy-with-ai-mcp/) - SQLcl just got chatty. Grab version 25.2, fire it up with sql -mcp, and it spins up a lightweight Model Context Protocol (MCP) server so your favourite AI copilot can connect straight to Oracle Database without any plug‑ins or wrappers. From there you simply describe what you want in plain English—“partition SALES by month,” “turn on In‑Memory analytics,”—and the copilot
- [I Connected Claude Desktop to Oracle Autonomous Database using SQLcl MCP Server](https://www.javidatatech.com/i-connected-claude-desktop-to-oracle-autonomous-database-using-sqlcl-mcp-server/) - Ever wished you could just ask your database questions like you do with ChatGPT?With the latest version of SQLcl, that dream is one step closer to reality—thanks to the new MCP Server integration.MCP stands for Model Context Protocol, and it’s a lightweight server built right into SQLcl (from version 25.2 onward). It acts as a
- [Optimizing Data Automatically in Oracle Autonomous Datawarehouse](https://www.javidatatech.com/optimizing-data-automatically-in-oracle-autonomous-datawarehouse/) - Managing data efficiently is crucial in any database system, especially as datasets grow over time. Automatic Data Optimization (ADO) in Oracle Autonomous Database helps automate data lifecycle management by applying compression tiering based on how often data is accessed or modified. This ensures that frequently used data remains easily accessible, while older, less-used data is
- [Oracle Autonomous Alarms for Blocking Sessions](https://www.javidatatech.com/oracle-autonomous-alarms-for-blocking-sessions/) - Monitoring for blocking sessions in Oracle Autonomous Database helps keep things running smoothly. A blocking session happens when one user’s activity locks resources that others need, causing delays that can slow down applications or impact users. By setting up alerts, you’ll know right away when a block is happening, allowing you to fix it quickly
- [Developer Options for Autonomous Database](https://www.javidatatech.com/developer-options-for-autonomous-database/) - Oracle Autonomous Database is one of the most popular cloud databases but as a developer, which options do you have?In order to meet all the requirements for all the possibilities, you have 3 options! To make all these options clear I had created this comparison matrix for you. If we talk about resources, all of
- [Welcome to my blog!](https://www.javidatatech.com/welcome-to-my-blog/) - Hello and welcome to my blog! I’m thrilled to have you here. This blog is dedicated to all things data engineering, with a particular focus on using Autonomous databases and leveraging multicloud with Oracle Database@Azure and Oracle Databases@Google Cloud. Whether you’re just starting your journey in data engineering or looking to enhance your existing skills,
- [Using my Apple Watch to chat with my Autonomous Database](https://www.javidatatech.com/using-my-apple-watch-to-chat-with-my-autonomous-database/) - If you are reding this blog, is because most likely you have seen my LinkedIn video which I’m talking with Siri with my Apple Watch and I’m getting a response from the Autonomous Database and Select AI. In case you haven’t seen it, here you have the video before I detail how I did it:
- [Building Lakehouses with Apache Iceberg and Autonomous Database](https://www.javidatatech.com/building-lakehouses-with-apache-iceberg-and-autonomous-database/) - What is Apache Iceberg?In the ever-evolving landscape of big data, efficient and scalable data management is crucial for organizations to harness the full potential of their data lakes. Traditional data lakes often struggle with issues such as data consistency, schema evolution, and performance, which can hinder their effectiveness. Enter Apache Iceberg, an open-source table format
- [Autonomous Data Engineer: The Superhero enabling AI](https://www.javidatatech.com/autonomous-data-engineer-overview/) - One of the most time-consuming tasks for data engineers is preparing data for analysis. This involves cleaning, transforming, and structuring raw data into a usable format. The good news is now you are not alone! With the help of Generative AI, now you can speed up all these tasks! Using Oracle Autonomous Database and Data
- [Deploy Autonomous easily in Google, Azure and OCI!](https://www.javidatatech.com/autonomous-is-multicloud/) - Oracle Autonomous Database is the best one in the market. It doesn’t matter if you are running transactional or data warehouse workloads. If you have been reading the latest news, now it is possible to deploy Oracle Autonomous Databases inside Azure and Google Cloud! These new services are called Oracle Database@Azure and Oracle Database@Google Cloud.

## Pages

- [Home](https://www.javidatatech.com/) - Welcome to JaviDataTech, a blog dedicated to Data Engineering with a focus on Autonomous Databases and Lakehouse Architectures
- [About Me](https://www.javidatatech.com/about-me/) - About Me Javier de la TorreWorking at Oracle as Autonomous Black Belt. I am a passionate Data Management Evangelist and IT enthusiast, constantly striving to learn and grow in my field. With extensive experience in Big Data, Lakehouse Architectures, NoSQL, and Oracle Database Solutions, I have dedicated many years to mastering these technologies. My work
- [Contact](https://www.javidatatech.com/contact/) - Contact MeLorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus. Phone Number Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper penci design. Email Address Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper penci design. Social

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