Overview Cloud analytics platforms in 2025 are AI-native, enabling faster insights through automation, natural language ...

Aniruddha Vyawahare has spent over ten years right where streaming tech, big data, and keeping things running smoothly all collide. He’s led teams through chaos—think millions of people streaming at ...

Databricks just raised $4 billion at a $134 billion valuation, making it one of the most valuable private companies in the ...

The hottest big data tools in 2025 include Amazon Aurora DSQL, Snowflake Intelligence, and the Databricks Lakebase.

Beta: This SDK is supported for production use cases, but we do expect future releases to have some interface changes; see Interface stability. We are keen to hear feedback from you on these SDKs.

Now in public preview, Snowpark Connect promises to reduce latency and complexity by moving analytics workloads where the data is. Snowflake is preparing to run Apache Spark analytics workloads ...

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 ...

In modern data engineering and machine learning (MLOps) workflows, secure and scalable secrets management is crucial. Azure Databricks, a powerful cloud-based analytics platform, offers native options ...

The artificial intelligence start-up’s funding shows investors remain enthusiastic about the A.I. boom. By Erin Griffith Reporting from San Francisco In October, OpenAI, the start-up behind ChatGPT, ...

Rajkumar Kyadasu is a Lead Data Engineer with over 9 years of experience in data engineering, cloud infrastructure, and automation. Currently employed as a Lead Data Engineer, Rajkumar focuses on ...

PyTest Fixtures are a powerful way to manage test setup and teardown in Python. This library provides a set of fixtures to help you write integration tests for Databricks. These fixtures were ...