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, ...
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 + ...
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 ...
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 Inc. today announced the general availability of Delta Live Tables, which it claims is the first extract/transfer/load or ETL framework to use a declarative approach to building data ...
ETL framework is the first to both automatically manage infrastructure and bring modern software engineering practices to data engineering, allowing data engineers and analysts to focus on ...
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 ...
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