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Matt Jones

Matt Jones

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Matt Jones's posts

Rethinking SQL ETL for modern data platforms

Industries

April 29, 2026/7 min read

Rethinking SQL ETL for modern data platforms

Data workflow diagram in Lakeflow Designer.

Platform

April 23, 2026/6 min read

Announcing the Public Preview of Lakeflow Designer

Stop Hand-Coding Change Data Capture Pipelines

Platform

April 22, 2026/9 min read

Stop Hand-Coding Change Data Capture Pipelines

Introducing Real-Time Mode in Apache Spark™ Structured Streaming

Announcements

August 19, 2025/5 min read

Introducing Real-Time Mode in Apache Spark™ Structured Streaming

What’s New in Lakeflow Declarative Pipelines: July 2025

Product

July 22, 2025/5 min read

What’s New in Lakeflow Declarative Pipelines: July 2025

Bringing Declarative Pipelines to the Apache Spark™ Open Source Project

Open Source

June 12, 2025/5 min read

Bringing Declarative Pipelines to the Apache Spark™ Open Source Project

2025 DLT Update: Intelligent, fully governed data pipelines

Product

April 24, 2025/7 min read

2025 DLT Update: Intelligent, fully governed data pipelines

Publish to Multiple Catalogs and Schemas from a Single DLT Pipeline

Announcements

March 12, 2025/7 min read

Publish to Multiple Catalogs and Schemas from a Single DLT Pipeline

Introducing Serverless Support for AWS Instance Profiles

Announcements

February 6, 2025/2 min read

Introducing Serverless Support for AWS Instance Profiles

Serverless Compute for Notebooks, Workflows and Pipelines is now Generally Available on Google Cloud

Product

February 3, 2025/3 min read

Serverless Compute for Notebooks, Workflows and Pipelines is now Generally Available on Google Cloud

Intelligent Data Engineering for Enterprise AI with Databricks and Informatica

Partners

October 22, 2024/5 min read

Intelligent Data Engineering for Enterprise AI with Databricks and Informatica

Databricks Named a Leader in Stream Processing and Cloud Data Pipelines

Announcements

July 8, 2024/4 min read

Databricks Named a Leader in Stream Processing and Cloud Data Pipelines

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