The immensely popular open-source cluster computing framework Apache Spark has just reached version 2.0, according to an announcement by the Apache Software Foundation (ASF) yesterday. Spark’s ...

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 ...

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.

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 ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Databricks, the company founded by the team that created ...

New tools to help increase developer productivity and simplify app development for intelligent cloud and edge, across devices, platforms or data sources NEW YORK — Nov. 15, 2017 — Wednesday at Connect ...

Apache Spark has become the de facto standard for processing data at scale, whether for querying large datasets, training machine learning models to predict future trends, or processing streaming data ...

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 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 ...