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How Edmunds builds a blueprint for generative AI

September 20, 2023 by Bryan Smith, Sam Steiny and Greg Rokita in
This blog post is in collaboration with Greg Rokita, AVP of Technology at Edmunds . Long envisioned as a key milestone in computing...

Orchestrating Data Analytics with Databricks Workflows

September 20, 2023 by Matthew Kuehn in
For data-driven enterprises, data analysts play a crucial role in extracting insights from data and presenting it in a meaningful way. However, many...

Unexpected Tools in the Databricks Marketplace to Supercharge Manufacturing Supply Chains

September 19, 2023 by Caitlin Gordon and Shiv Trisal in
“Supply chains compete, not companies” — Martin Christopher No two supply chains are identical - the unique combination of products, industries, and geographic...

Introducing the Support of Lateral Column Alias

September 19, 2023 by Xinyi Yu, Wenchen Fan and Gengliang Wang in
We are thrilled to introduce the support of a new SQL feature in Apache Spark and Databricks: Lateral Column Alias (LCA). This feature...

A Costa Rica journey with a Twist of Pura Vida

September 18, 2023 by Ariel Vargas and Andrea Fernández in
Costa Rica is known for several things, both culturally and ecologically. Among those are biodiversity, coffee, Pura Vida, and most recently a rapidly...

Introducing Apache Spark™ 3.5

Today, we are happy to announce the availability of Apache Spark™ 3.5 on Databricks as part of Databricks Runtime 14.0. We extend our...

The Power of a Trusted Data Lakehouse: Go Bust or Boom

September 15, 2023 by Eon Retief in
Special thanks to our partners at Immuta , Alation , and Anomalo for their collaboration on the content and technical assets from this...

Introducing MLflow 2.7 with new LLMOps capabilities

As part of MLflow 2’s support for LLMOps, we are excited to introduce the latest updates to support prompt engineering in MLflow 2.7...

Bringing Scalable AI to the Edge with Databricks and Azure DevOps

The opportunity for machine learning and AI in manufacturing is immense . From better alignment of production with consumer demand to improved process...

Crossing Bridges: Reporting on NYC taxi data with RStudio and Databricks

As data enthusiasts, we love uncovering stories in datasets. With Posit's RStudio Desktop and Databricks, you can analyze data with dplyr, create impressive...