<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Data Architecture on Ahead of the AI</title><link>https://julianamarialop.github.io/en/tags/data-architecture/</link><description>Recent content in Data Architecture on Ahead of the AI</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Tue, 03 Mar 2026 12:31:00 +0000</lastBuildDate><atom:link href="https://julianamarialop.github.io/en/tags/data-architecture/index.xml" rel="self" type="application/rss+xml"/><item><title>Databricks Lakebase: The Definitive Guide to the New Era of Operational Data and AI Agents</title><link>https://julianamarialop.github.io/en/articles/databricks-lakebase-definitive-guide-operational-data-and-ai-agents/</link><pubDate>Tue, 03 Mar 2026 12:31:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/databricks-lakebase-definitive-guide-operational-data-and-ai-agents/</guid><description>Databricks Lakebase represents a significant evolution in data architecture, specifically in the domain of OLTP (Online Transactional Processing) databases. It isn&amp;rsquo;t just another database…</description></item><item><title>To Infinity and Beyond... Data! Explaining Microsoft Fabric to a Child</title><link>https://julianamarialop.github.io/en/articles/to-infinity-and-beyond-data-explaining-microsoft-fabric-to-a-child/</link><pubDate>Tue, 22 Apr 2025 13:48:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/to-infinity-and-beyond-data-explaining-microsoft-fabric-to-a-child/</guid><description>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…</description></item><item><title>How to Migrate from SAS to Microsoft Fabric: An Irresistible 2-Layer Banoffee Recipe</title><link>https://julianamarialop.github.io/en/articles/how-to-migrate-from-sas-to-microsoft-fabric-2-layer-banoffee-recipe/</link><pubDate>Sat, 19 Apr 2025 16:13:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/how-to-migrate-from-sas-to-microsoft-fabric-2-layer-banoffee-recipe/</guid><description>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…</description></item><item><title>Clash of the Titans: Databricks vs. Snowflake in the Mortal Data Battle</title><link>https://julianamarialop.github.io/en/articles/clash-of-the-titans-databricks-vs-snowflake-in-the-mortal-data-battle/</link><pubDate>Tue, 30 Jul 2024 15:00:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/clash-of-the-titans-databricks-vs-snowflake-in-the-mortal-data-battle/</guid><description>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…</description></item><item><title>Exploring New Horizons: Transform Your Organization with Data Mesh on Microsoft Fabric</title><link>https://julianamarialop.github.io/en/articles/exploring-new-horizons-transform-your-organization-data-mesh-fabric/</link><pubDate>Fri, 12 Jul 2024 13:16:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/exploring-new-horizons-transform-your-organization-data-mesh-fabric/</guid><description>Microsoft Fabric is the complete solution for all of your company&amp;rsquo;s analytics needs, unifying the whole process in a single platform. From ingesting data into the data lake to delivering information to…</description></item><item><title>Connected Future: Unity Catalog and Microsoft Fabric Working Together</title><link>https://julianamarialop.github.io/en/articles/connected-future-unity-catalog-and-microsoft-fabric-working-together/</link><pubDate>Wed, 10 Jul 2024 13:28:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/connected-future-unity-catalog-and-microsoft-fabric-working-together/</guid><description>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…</description></item><item><title>Integrating Azure Databricks and Microsoft Fabric: A Meeting of Giants! - Part II - Adding a Reporting and Analytics Layer</title><link>https://julianamarialop.github.io/en/articles/integrating-azure-databricks-and-microsoft-fabric-part-2-reporting-layer/</link><pubDate>Thu, 04 Jul 2024 14:18:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/integrating-azure-databricks-and-microsoft-fabric-part-2-reporting-layer/</guid><description>Disclaimer: this article reflects my personal experiences and views, not an official position of Microsoft Fabric or Databricks.</description></item><item><title>Databricks Lakehouse Federation: Exploring Practical Examples</title><link>https://julianamarialop.github.io/en/articles/databricks-lakehouse-federation-exploring-practical-examples/</link><pubDate>Thu, 25 Apr 2024 14:23:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/databricks-lakehouse-federation-exploring-practical-examples/</guid><description>Following up on the previous article, &amp;ldquo;Databricks Lakehouse Federation: An Alternative to Zero ETL?&amp;rdquo;, let&amp;rsquo;s explore some practical examples of combining data from different sources.</description></item><item><title>Databricks Lakehouse Federation: An Alternative to Zero ETL?</title><link>https://julianamarialop.github.io/en/articles/databricks-lakehouse-federation-an-alternative-to-zero-etl/</link><pubDate>Wed, 24 Apr 2024 20:48:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/databricks-lakehouse-federation-an-alternative-to-zero-etl/</guid><description>Released in December 2023, the Lakehouse Federation feature is currently in Public Preview, but it has enormous potential. In today&amp;rsquo;s article, I&amp;rsquo;ll explore some interesting perspectives, such as the ability to…</description></item><item><title>Databricks: Best Practices for Managing Bronze, Silver and Gold (Medallion Architecture)</title><link>https://julianamarialop.github.io/en/articles/databricks-best-practices-managing-bronze-silver-gold-medallion/</link><pubDate>Thu, 05 Oct 2023 13:00:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/databricks-best-practices-managing-bronze-silver-gold-medallion/</guid><description>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…</description></item><item><title>Hands-on with Microsoft Fabric: A Beginner's Guide (Part 1)</title><link>https://julianamarialop.github.io/en/articles/hands-on-with-microsoft-fabric-a-beginners-guide-part-1/</link><pubDate>Fri, 22 Sep 2023 13:00:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/hands-on-with-microsoft-fabric-a-beginners-guide-part-1/</guid><description>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 …</description></item></channel></rss>