We are looking for a Junior Data Scientist who doesn’t just "do data," but builds intelligent systems. In this role, you won't just be analyzing the past; you will be building the future of customer ...

Definity raises $12M to embed AI agents inside Spark pipelines, catching failures and bad data before they reach the agentic ...

Spark Declarative Pipelines automate flows for batch and streaming data, while Lakeflow Jobs coordinate tasks from SQL queries to machine learning model deployment, supporting streaming tables, ...

A GitHub project now offers an Azure Databricks medallion architecture pipeline built with PySpark, Python, and SQL. It processes e-commerce data through Bronze, Silver, and Gold layers, adding ...

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the ...

Google Cloud is turning the traditional enterprise data platform on its head, unveiling the Agentic Data Cloud infrastructure ...

The Databricks SQL Connector for Python allows you to develop Python applications that connect to Databricks clusters and SQL warehouses. It is a Thrift-based client with no dependencies on ODBC or ...

Metabricks is an open-source Databricks metadata framework designed to build scalable, manifest-driven ingestion pipelines on Apache Spark and Delta Lake. If you're searching for a Databricks metadata ...

Zaharia began building Apache Spark as a doctoral student at UC Berkeley in 2009, a faster alternative to Hadoop MapReduce, which had become the default framework for large-scale distributed data ...

Muse Spark is Meta's first AI model in a year Company is trying to re-join the frontier AI race after its Llama 4 model disappointed Independent tests show Muse Spark matches rivals in some areas, ...

Meta on Wednesday announced Spark, the first AI model in the Muse family that it says represents “a ground-up overhaul of our AI efforts.” Meta said that Muse Spark will take advantage of content ...