Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...

With the Hydrolix Spark Connector, Databricks users can use the Hydrolix streaming data lake to extract deeper insights faster and cheaper from their real-time and historical log data. According to a ...

Databricks Inc. is bringing Apache Spark to the enterprise, and Michael Armbrust, lead developer of Spark SQL at Databricks, created Spark SQL’s Catalyst Optimizer, a query API that is a fundamental ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...

As well as access control, Databricks 2.0 now offers use of the popular R statistical programming language, support for multiple versions of Spark, and notebook versioning. Spark started in 2009 as a ...

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 ...