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Databricks Lakebase represents a significant evolution in data architecture, specifically in the domain of OLTP (Online Transactional Processing) databases. It isn’t just another database…
Imagine you need to get from point A to point B. A few decades ago, your only option was a car with a manual transmission, demanding full attention to every gear change and every move in traffic. Over time…
The data engineering profession is going through its biggest transformation since the move to the cloud. For years, the focus was on building efficient pipelines, moving data from one point to another and making sure…
Microsoft Ignite 2025 wasn’t an event about future promises; it was about concrete deliveries that mark the maturity of Microsoft Fabric. The platform stopped being a collection of promising tools and became…
Imagine you’ve been hired to build the tallest skyscraper in the city. It would be an incredible project, right? But what if I told you that you had to use cracked bricks, expired cement and rusty iron…
In May 2023, Microsoft announced Microsoft Fabric as a revolutionary solution to unify every analytical workload on a single platform. The promise was ambitious: lakehouse, data warehouse…
Just as Clark Kent had to turn into Superman so ordinary people could be saved, the data world has always required business users to turn into “super-techies” to access…
July 2025 arrived with a shower of updates that turned Microsoft Fabric into an even more powerful superhero. Like any self-respecting hero, Fabric never stops evolving, picking up new powers and…
Imagine an office where the employees never get tired, work 24 hours a day, are always learning and carry out tasks with surgical precision. This scenario, which seemed like science fiction just a few years ago…
In today’s world, where data is the new oil (or maybe the new bricks?), building robust, efficient Analytics solutions on Azure has become a complex engineering task. Platforms like Microsoft Fabric…
For more than a decade, Apache Spark has been the data processing platform of choice for data engineers and data scientists around the world. With its ability to process large volumes of information in…
Deploying data projects across different environments has always been a challenge comparable to trying to replicate a gourmet dish in different kitchens. Even with the same ingredients, small variations in settings, in the…
