Spark has taken big data by storm. What's next for the in-memory engine of choice? Spark's primary commercial backer, Databricks, offers a clue Last week at Spark Summit East, Databricks dropped a few ...

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What I'd like to cover here goes beyond those AI headlines, however, and involves a special nugget just for folks doing data engineering, analytics and machine learning work with Apache Spark.

Invented eight years ago and intensively commercialized over the past several years, Apache Spark has become a core power tool for data scientists and other developers working sophisticated projects ...

Apache Spark is a project designed to accelerate Hadoop and other big data applications through the use of an in-memory, clustered data engine. The Apache Foundation describes the Spark project this ...

SAN FRANCISCO, June 11, 2025 /CNW/ --Data + AI Summit -- Databricks, the Data and AI company, today announced it is open-sourcing the company's core declarative ETL framework as Apache Spark™ ...

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 ...

SAN FRANCISCO, CA--(Marketwired - Feb 17, 2016) - Databricks, the company behind Apache Spark, today at Spark Summit East launched the general availability of Databricks Dashboards as an expansion to ...

Databricks, the commercial company created from the open source Apache Spark project, announced the release of a free Community Edition today aimed at teaching people how to use Spark — and as an ...