Databricks buys Electric to embed local Postgres in AI agents
Databricks is acquiring the startup Electric to integrate WebAssembly-based Postgres databases directly into application environments for an undiscl…
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Databricks is acquiring the startup Electric to integrate WebAssembly-based Postgres databases directly into application environments for an undiscl…
Every Databricks pitch deck has the same three-layer diagram: bronze for raw data, silver for cleaned data, gold for business-ready tables. The diag…
A follow-up to Part 2: Databricks and FSx for ONTAP S3 Access Points in the "FSx for ONTAP S3 Access Points x Lakehouse Deep Dive" series. Some resu…
When preparing for DP-750: Microsoft Certified: Azure Databricks Data Engineer Associate , you need to understand how Azure Databricks projects are…
When preparing for DP-750: Microsoft Certified: Azure Databricks Data Engineer Associate , you need to understand two related but different topics:…
The pitch for agentic AI on enterprise data is genuinely appealing: instead of a chatbot that answers one question at a time, you get something that…
When preparing for DP-750: Microsoft Certified: Azure Databricks Data Engineer Associate , you need to understand common Delta Lake and Spark table…
Most Snowflake-to-Databricks migrations get sold on cost and delivered on something else. The credit line item is what gets the project funded, but…
Databricks is expanding its Lakebridge toolkit by introducing an agentic code conversion feature designed to help organizations migrate from legacy…
Every data team eventually asks the same question: what runs our pipelines, on what schedule, with what retry logic, and who gets paged when it fail…
The problem with "just add more workers" Most Spark performance issues on Databricks aren't solved by scaling the cluster — they're caused by shuffl…
For most of the last decade, the honest answer to "should we standardize on Databricks or on the Microsoft data platform?" was: pick one and live wi…
As organisations move to the Databricks Lakehouse Platform on AWS, two priorities consistently surface at the top of every architecture conversation…
The problem We had a reference dataset in Databricks with 1B+ rows . Users needed to look up a handful of those rows from a Salesforce record page.…
📚 Series: Databricks on AWS (Part 5) Building a Databricks AI Platform on AWS RBAC with Function-Role Groups Compute Governance: Pools, Policies, Cl…
📚 Series: Databricks on AWS (Part 4) Building a Databricks AI Platform on AWS RBAC with Function-Role Groups Compute Governance: Pools, Policies, Cl…
📚 Series: Databricks on AWS (Part 3) Building a Databricks AI Platform on AWS RBAC with Function-Role Groups Compute Governance: Pools, Policies, Cl…
📚 Series: Databricks on AWS (Part 2) Building a Databricks AI Platform on AWS RBAC with Function-Role Groups ← you are here Compute Governance: Pool…
📚 Series: Databricks on AWS (Part 0, prologue) The Target Architecture ← you are here Building a Databricks AI Platform on AWS RBAC with Function-Ro…
If you're building a data platform on Azure in 2026, you're going to be asked this question: Azure Databricks or Microsoft Fabric? Both run on Delta…
Raw data doesn't win model competitions. Features do. And when your raw data is tens of billions of rows sitting across multiple sources, you can't…
Most Databricks agent tutorials start with "set up Unity Catalog and Vector Search first." This one doesn't. I built a fully working conversational…
Building point-in-time correct, production-grade feature pipelines — from raw Kafka events to online feature serving in milliseconds, using Spark St…
A deep dive into how Spark transforms your SQL into a physical execution plan — and how Databricks layers Adaptive Query Execution and the Photon ve…
If you have ever run DESCRIBE HISTORY on a Delta table that receives streaming data every 60 seconds and watched it either hang for hours or crash w…