<?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>SQL on Ahead of the AI</title><link>https://julianamarialop.github.io/en/tags/sql/</link><description>Recent content in SQL on Ahead of the AI</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Mon, 13 Jul 2026 18:20:00 +0000</lastBuildDate><atom:link href="https://julianamarialop.github.io/en/tags/sql/index.xml" rel="self" type="application/rss+xml"/><item><title>What Batman's Protocols Taught Me About Business Intelligence Inside Claude</title><link>https://julianamarialop.github.io/en/articles/what-batmans-protocols-taught-me-about-business-intelligence-in-claude/</link><pubDate>Mon, 13 Jul 2026 18:20:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/what-batmans-protocols-taught-me-about-business-intelligence-in-claude/</guid><description>In 2000, in the Tower of Babel arc, Ra&amp;rsquo;s al Ghul took down the entire Justice League without firing a single beam. He stole the Batcave&amp;rsquo;s secret files: the contingency protocols Batman himself had…</description></item><item><title>Microsoft Fabric at Ignite 2025: The Complete Guide to What's New</title><link>https://julianamarialop.github.io/en/articles/microsoft-fabric-at-ignite-2025-the-complete-guide-to-whats-new/</link><pubDate>Tue, 25 Nov 2025 15:53:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/microsoft-fabric-at-ignite-2025-the-complete-guide-to-whats-new/</guid><description>Microsoft Ignite 2025 wasn&amp;rsquo;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…</description></item><item><title>The Fabric Hero's Complete Arsenal: New Powers and Gear for July 2025</title><link>https://julianamarialop.github.io/en/articles/fabric-hero-complete-arsenal-new-powers-and-gear-july-2025/</link><pubDate>Wed, 16 Jul 2025 14:19:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/fabric-hero-complete-arsenal-new-powers-and-gear-july-2025/</guid><description>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…</description></item><item><title>The Perfect Blueprint for Analytics on Azure: Building Solid Solutions with the Well-Architected Review</title><link>https://julianamarialop.github.io/en/articles/perfect-blueprint-for-analytics-on-azure-well-architected-review/</link><pubDate>Fri, 06 Jun 2025 15:58:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/perfect-blueprint-for-analytics-on-azure-well-architected-review/</guid><description>In today&amp;rsquo;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…</description></item><item><title>Spark Land 4.0: The Data Amusement Park Has Just Opened Its Gates</title><link>https://julianamarialop.github.io/en/articles/spark-land-4-0-data-amusement-park-just-opened-its-gates/</link><pubDate>Thu, 29 May 2025 12:56:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/spark-land-4-0-data-amusement-park-just-opened-its-gates/</guid><description>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…</description></item><item><title>Back to the Future of Pipelines: How the Azure Data Factory DeLorean Now Travels Straight to the World of Databricks Jobs</title><link>https://julianamarialop.github.io/en/articles/back-to-the-future-of-pipelines-azure-data-factory-databricks-jobs/</link><pubDate>Mon, 19 May 2025 17:54:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/back-to-the-future-of-pipelines-azure-data-factory-databricks-jobs/</guid><description>For years, data engineers have been building pipelines that connect Azure Data Factory (ADF) to Databricks, a powerful combination that often required manual tweaks and complex configuration. It was like…</description></item><item><title>Azure Databricks SQL Pipe Syntax: Master the Elements of Your Query Like an Avatar!</title><link>https://julianamarialop.github.io/en/articles/azure-databricks-sql-pipe-syntax-master-query-elements-like-avatar/</link><pubDate>Fri, 09 May 2025 14:15:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/azure-databricks-sql-pipe-syntax-master-query-elements-like-avatar/</guid><description>Anyone who works with SQL knows that, powerful as the language is, writing and understanding complex queries, especially those with multiple nested subqueries, can be a challenge. We often feel…</description></item><item><title>Microsoft Fabric Presents: The Full April Buffet! Come Taste What's New!</title><link>https://julianamarialop.github.io/en/articles/microsoft-fabric-presents-the-full-april-buffet/</link><pubDate>Wed, 07 May 2025 14:15:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/microsoft-fabric-presents-the-full-april-buffet/</guid><description>April is here, and with it, Microsoft Fabric has prepared a set of important updates. As a platform that&amp;rsquo;s always looking to innovate, Fabric treats us to a variety of new and improved &amp;ldquo;dishes&amp;rdquo;…</description></item><item><title>DBT: The Personal Trainer That Turns Your Data into Elite Athletes</title><link>https://julianamarialop.github.io/en/articles/dbt-the-personal-trainer-that-turns-your-data-into-elite-athletes/</link><pubDate>Mon, 10 Feb 2025 12:46:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/dbt-the-personal-trainer-that-turns-your-data-into-elite-athletes/</guid><description>Imagine your data is like a couch potato who decided to get in shape. DBT (Data Build Tool) is the personal trainer who takes that data, builds the right workout plan (SQL transformations) and takes it to a new…</description></item><item><title>Like a Well-Organized Beehive: Exploring Azure Databricks Clusters</title><link>https://julianamarialop.github.io/en/articles/like-a-well-organized-beehive-exploring-azure-databricks-clusters/</link><pubDate>Wed, 15 Jan 2025 13:45:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/like-a-well-organized-beehive-exploring-azure-databricks-clusters/</guid><description>Databricks is a robust platform for processing and analyzing large volumes of data, supporting workloads that range from data engineering to data science and business analytics. One of the…</description></item><item><title>Rub the Lamp and Get Insights: A Guide to AI/BI Genie on Azure Databricks</title><link>https://julianamarialop.github.io/en/articles/rub-the-lamp-and-get-insights-a-guide-to-ai-bi-genie-on-azure-databricks/</link><pubDate>Mon, 21 Oct 2024 15:47:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/rub-the-lamp-and-get-insights-a-guide-to-ai-bi-genie-on-azure-databricks/</guid><description>Imagine being able to talk to your data as if you were chatting with a coworker or, better yet, as if you were dealing with the genie of a magic lamp. That&amp;rsquo;s exactly what AI/BI Genie makes possible!…</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>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>Advanced SQL Queries You Should Know</title><link>https://julianamarialop.github.io/en/articles/advanced-sql-queries-you-should-know/</link><pubDate>Tue, 02 Jul 2024 14:15:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/advanced-sql-queries-you-should-know/</guid><description>Today&amp;rsquo;s article is about a subject I love and that never goes out of style. SQL!!</description></item><item><title>How to Calculate the Real Cost of Azure Databricks SQL Warehouse Instances</title><link>https://julianamarialop.github.io/en/articles/how-to-calculate-real-cost-azure-databricks-sql-warehouse-instances/</link><pubDate>Sat, 29 Jun 2024 22:21:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/how-to-calculate-real-cost-azure-databricks-sql-warehouse-instances/</guid><description>Shall we learn how to calculate the cost of SQL Warehouse instances in Microsoft Azure Databricks the easy way? Then follow along with this article.</description></item><item><title>Databricks SQL and Dimensional Modeling: Optimizing Your Data Warehouse</title><link>https://julianamarialop.github.io/en/articles/databricks-sql-and-dimensional-modeling-optimizing-your-data-warehouse/</link><pubDate>Thu, 23 May 2024 14:06:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/databricks-sql-and-dimensional-modeling-optimizing-your-data-warehouse/</guid><description>In the dynamic landscape of information storage, the methodologies used to structure data play a crucial role in uncovering valuable insights for informed decision-making. Since the…</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>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><item><title>🚀 Key Differences Between Azure Synapse and Databricks</title><link>https://julianamarialop.github.io/en/articles/key-differences-between-azure-synapse-and-databricks/</link><pubDate>Thu, 21 Sep 2023 15:31:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/key-differences-between-azure-synapse-and-databricks/</guid><description>Hi everyone, in this article I&amp;rsquo;ll talk a bit about these data platforms.</description></item><item><title>Azure Synapse Analytics vs Microsoft Fabric: How About Another Migration Project?</title><link>https://julianamarialop.github.io/en/articles/azure-synapse-analytics-vs-microsoft-fabric-another-migration-project/</link><pubDate>Tue, 30 May 2023 17:44:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/azure-synapse-analytics-vs-microsoft-fabric-another-migration-project/</guid><description>In May 2023, Microsoft announced Microsoft Fabric. This new solution extends the integration promise made in Azure Synapse Analytics to cover every analytics workload, and it can be used…</description></item><item><title>How to Optimize SQL Queries: A Pocket Guide to Data "Tuning"</title><link>https://julianamarialop.github.io/en/articles/how-to-optimize-sql-queries-a-pocket-guide-to-data-tuning/</link><pubDate>Fri, 26 Jun 2020 16:17:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/how-to-optimize-sql-queries-a-pocket-guide-to-data-tuning/</guid><description>Time goes by, new data ingestion techniques, languages and tools come along, but one thing is a universal truth. SQL never goes out of style!</description></item><item><title>How to Use Dynamic SQL in BigQuery with EXECUTE IMMEDIATE</title><link>https://julianamarialop.github.io/en/articles/how-to-use-dynamic-sql-in-bigquery-with-execute-immediate/</link><pubDate>Thu, 18 Jun 2020 20:13:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/how-to-use-dynamic-sql-in-bigquery-with-execute-immediate/</guid><description>This week (June 2020) a GCP update came out that lets you use the EXECUTE IMMEDIATE command in BigQuery. For more information, see the documentation.</description></item><item><title>Databricks: The Swiss Army Knife of Your Big Data Platform</title><link>https://julianamarialop.github.io/en/articles/databricks-the-swiss-army-knife-of-your-big-data-platform/</link><pubDate>Tue, 23 Apr 2019 16:07:00 +0000</pubDate><guid>https://julianamarialop.github.io/en/articles/databricks-the-swiss-army-knife-of-your-big-data-platform/</guid><description>Imagine a team made up of a SQL developer, a Python professional and a Scala contributor. They all work together to ingest data into your Datalake, your Datawarehouse or simply…</description></item></channel></rss>