Distributing the Singular Value Decomposition with Apache Spark
Guest post by Li Pu from Twitter and Reza Zadeh from Databricks on their recent contribution to Apache Spark's machine learning library. The...
The State of Apache Spark in 2014
This post originally appeared in insideBIGDATA and is reposted here with permission. With the second Spark Summit behind us, we wanted to take...
New Features in MLlib in Apache Spark 1.0
MLlib is an Apache Spark component focusing on machine learning. It became a standard component of Spark in version 0.8 (Sep 2013). The...
Databricks: Making Big Data Easy
Our vision at Databricks is to make big data easy so that we enable every organization to turn its data into value. At...
Shark, Spark SQL, Hive on Spark, and the future of SQL on Apache Spark
With the introduction of Spark SQL and the new Hive on Apache Spark effort ( HIVE-7292 ), we get asked a lot about...
Integrating Apache Spark and HANA
This morning SAP released its own “Certified Spark Distribution” as part of a brand new partnership announced between Databricks and SAP. We’re thrilled...
Databricks Announces Partnership with SAP
SAN FRANCISCO — July 1, 2014 — Databricks, the company founded by the team that started the Spark research project at UC Berkeley...
Databricks Unveils Apache Spark-Based Cloud Platform; Announces Series B Funding
Databricks Cloud Allows Users to Get Value from Apache Spark without the Challenges Normally Associated with Big Data Infrastructure Ease-of-Use of Turnkey Solution...
Sparkling Water = H20 + Apache Spark
This post is guest authored by our friends at 0xData discussing the release of Sparkling Water - the integration of their H20 offering...
Application Spotlight: Pentaho
This post is guest authored by our friends at Pentaho after having their data integration and analytics platform “Certified on Apache Spark.” One...