Optimization
Integration
Data-Engineering
Elevate Your Code: Creating Python Libraries Using Microsoft Fabric (Part 2 of 2: Packaging, Distribution, and Consumption)
Mastering Spark: The Art and Science of Table Compaction
Automating V-Order: A Targeted Approach for Direct Lake Models
Mastering Spark: Session vs. DataFrameWriter vs. Table Configs
Should You Ditch Spark for DuckDb or Polars?
Announcing the Microsoft Fabric Shape Library for Excalidraw
Unlock Faster Writes in Delta Lake with Deletion Vectors
Breaking the Myth: Spark Isn’t as Scary as You'd Think (And Yes, It Supports SQL!)
Mastering Spark: Creating Resiliency with Retry Logic
Mastering Spark: Parallelizing API Calls and Other Non-Distributed Tasks
Mastering Spark: RDDs vs. DataFrames
Yet Another Way to Connect to the SQL Endpoint / Warehouse via Python
To V-Order or Not: Making the Case for Selective Use of V-Order in Fabric Spark
Mastering Spark: Enhancing Job Visibility
From Databricks to Fabric: A Deep Dive into Spark Cluster Differences
Optimizing Spark: A Deep Dive into Optimized Write in Microsoft Fabric
Elevate Your Code: Creating Python Libraries Using Microsoft Fabric (Part 1 of 2: Development)
Fabric Announcements at Build '24
Generative AI and Spark: Leveraging LLMs for Accelerated Migrations
The TCO of Photon in Databricks: Is it a No Brainer?
The Fabric Concurrency Showdown: RunMultiple vs. ThreadPools
The SQL Decoder Ring for Replatforming to Fabric and Databricks
Beyond Information Schema: Metadata Mastery in a Fabric Lakehouse