With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

The technology, which enables rapid business transformation, requires a new data layer—one built for speed, scale, and ...

In an era where data volume and velocity continue to rise exponentially, enterprises across sectors are racing to implement ...

With funding led by Forgepoint Capital, the fast-growing startup is pioneering agentic AI to slash data costs, automate data ...

Starburst unifies siloed data, simplifies AI workflows with Trino, and boosts LLM accuracy using RAG, governance, and open ...

From Ingestion to Delivery, Snowflake’s potential to scale businesses with ease is a win-win 💬 Snowflake gives data analysts ...

Spark Declarative Pipelines provides an easier way to define and execute data pipelines for both batch and streaming ETL workloads across any Apache Spark-supported data source, including cloud ...