In this session, we’ll teach you how to build your own Azure Databricks ETL pipeline, starting with ingestion, moving through transformation, and loading your data into a SQL Data Warehouse. Learn ...

Many enterprises running PostgreSQL databases for their applications face the same expensive reality. When they need to analyze that operational data or feed it to AI models, they build ETL (Extract, ...

Databricks Inc. today introduced two new products, LakeFlow and AI/BI, that promise to ease several of the tasks involved in analyzing business information for useful patterns. LakeFlow is designed to ...

Databricks has unveiled a new extract, transform, load (ETL) framework, dubbed Delta Live Tables, which is now generally available across the Microsoft Azure, AWS and Google Cloud platforms. According ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

Since its launch in 2013, Databricks has relied on its ecosystem of partners, such as Fivetran, Rudderstack, and dbt, to provide tools for data preparation and loading. But now, at its annual Data + ...

Databricks announced it is acquiring Mooncake Labs to accelerate its vision of a Lakebase—a new category of OLTP database built on Postgres and optimized for AI agents. With Lakebase, developers gain ...