Hortonworks®, a leading contributor to and provider of enterprise Apache™ Hadoop®, has announced the Hortonworks Data Platform (HDP) version 2.2, an enterprise-ready data platform that enables organizations to adopt a modern data architecture with Hadoop YARN as the architectural center, supported by key capabilities required of an enterprise data platform – spanning governance, security and operations.
In the presentation below, Hadoop luminary Doug Cutting gives us some of his perspectives on the big data industry as well as a high-level overview of the Hadoop technology stack.
MapR Technologies, Inc., provider of a leading distribution for Apache™ Hadoop®, today announced an initiative to integrate Apache Drill, which provides instant, self-service data exploration across multiple data sources, with Apache Spark, the in-memory processing framework that provides speed, programming ease and real-time processing advantages.
This article is the fourth in an editorial series that has the goal to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.
Cornerstone OnDemand (NASDAQ:CSOD), a global leader in cloud-based talent management solutions, announced that the company has entered into a definitive agreement to acquire privately-held Evolv Inc. With its leading machine learning and data science platform, the acquisition of Evolv will allow Cornerstone clients to leverage the power of big data analytics to make better workforce decisions.
The panel discussion video below comes from the Los Angeles Spark Users Group. The talk fosters a lively discussion on Spark’s initial goals, where it came from and what the future holds for Spark. Many leading Big Data vendors are responding by introducing Spark’s capabilities into their architectures. The panel discussion is between the top Hadoop distribution vendors – Cloudera, MapR, and Pivotal.
This article is the third in an editorial series that has the goal to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.
Pepperdata, a leader in Apache Hadoop performance optimization, has announced that Opower, a leader in cloud-based software for the utility industry, has deployed Pepperdata Supervisor, a real-time cluster optimizer, to ensure its production Hadoop environment can scale to hundreds of billions of data points reliably, efficiently and on time.