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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…
The other day, while thinking about a new article to share here on LinkedIn, I caught myself reflecting on how hard it is to explain what we do with data and technology to a child, or even to an older relative…
Migrating an established platform like SAS can look like a complex challenge. But, just like making an irresistible Banoffee, if we follow the steps calmly and methodically, the result will be delicious! Inspired…
Databricks and Snowflake are two big names in cloud data solutions. Both platforms have been key to helping companies generate value from their internal and external data assets. Each platform…
Microsoft Fabric is the complete solution for all of your company’s analytics needs, unifying the whole process in a single platform. From ingesting data into the data lake to delivering information to…
This article reflects my personal experiences and points of view, not the official position of Microsoft or Databricks. In addition, although this post describes potential scenarios, it does not necessarily reflect the…
Disclaimer: this article reflects my personal experiences and views, not an official position of Microsoft Fabric or Databricks.
Following up on the previous article, “Databricks Lakehouse Federation: An Alternative to Zero ETL?”, let’s explore some practical examples of combining data from different sources.
Released in December 2023, the Lakehouse Federation feature is currently in Public Preview, but it has enormous potential. In today’s article, I’ll explore some interesting perspectives, such as the ability to…
Many of the clients I work with implement a Medallion architecture to logically organize their data in a Lakehouse. As data flows, it moves through several stages or layers. The best-known design…
Traditional large-scale data analytics solutions rely on data warehouses and SQL queries to store and retrieve data. However, the rise of big data, characterized by large #volumes …
