This is a performance testing framework for Spark SQL in Apache Spark 2.2+. The framework contains twelve benchmarks that can be executed in local mode. They are organized into three classes and ...

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 ...

Google Research team has announced the launch of Gemini-SQL2 on X. They described this system as a breakthrough text-to-SQL capability powered by Gemini 3.1 Pro. Gemini-SQL2 posted 80.04% execution ...

Artificial intelligence is changing how organisations use data. Tasks that once required complex queries and manual analysis can now be done in minutes with modern analytics platforms. Because of this ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

Your browser does not support the audio element. Setting Up the Unity Catalog for Medallion Architecture: We organized our data into bronze, silver, and gold layers ...

Your browser does not support the audio element. In this blogpost series we will dive into building an end-to-end MLOps using Databricks and Spark. We will use the ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...