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Mastering data engineering with Databricks tools

Databricks offers Python developers a powerful environment to create and run large-scale data workflows, leveraging Apache Spark and Delta Lake for processing. Users can import code from files or Git ...
VentureBeat

Databricks set to accelerate agentic AI by up to 100x with ‘Mooncake’ technology — no ETL pipelines for analytics and AI

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 says it solved the decades-old data pipeline problem that's been slowing AI agents

Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering ...

Databricks declares the end of pipelines with a unified platform for operational and analytical data

Databricks declares the end of pipelines with a unified platform for operational and analytical data - SiliconANGLE ...
InfoQ

Databricks Contributes Spark Declarative Pipelines to Apache Spark

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...