Automated Hadoop migration and cataloging solution delivers faster time-to-value for Databricks customers PALO ALTO, Calif., June 6, 2024 /PRNewswire/ -- Infoworks.io, the leader in data engineering ...

SAN FRANCISCO, Calif., July 1 – Alteryx and Databricks today announced they are collaborating to drive the value of Apache Hadoop and Spark into the hands of everyday analysts. These companies will ...

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 ...

For now, MapR seems to be sitting on the sidelines of the “My Hadoop distro is better than yours” game, and as Jack Norris, the company’s CMO puts it, “we’re concentrating on doing what’s best for our ...

Alteryx and Databricks are collaborating to make Apache Hadoop and Spark accessible for everyday analysts. These companies will become the primary committers to SparkR, a subset of the overall Spark ...

First created as part of a research project at UC Berkeley AMPLab, Spark is an open source project in the big data space, built for sophisticated analytics, speed, and ease of use. It unifies critical ...

Partnership enables customers to modernize their on-premises data lakes by combining the power of Informatica’s Intelligent Data Management Cloud platform with the Databricks Data Intelligence ...

If 2014 was the year that Apache Hadoop sparked the big data revolution, 2015 may be the year that Apache Spark supplants Hadoop with its superior capabilities for richer and more timely analysis.

Alteryx and Databricks has announced they are collaborating to drive the value of Apache Hadoop and Spark into the hands of everyday analysts. These companies will become the primary committers to ...