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.
Red Hat, Inc. (NYSE: RHT), a leading provider of open source solutions, has announced the availability of the newest major release of Red Hat Storage Server, a leading open software-defined storage solution for scale-out file storage. The advanced capabilities in Red Hat Storage 3 are well-suited for data-intensive enterprise workloads including big data, operational analytics […]
Solutionary, an NTT Group security company (NYSE: NTT) and the next-generation managed security services provider (MSSP), has announced that its Security Engineering Research Team (SERT) is combining its deep security expertise with big data analytics to expand global correlation, providing customers with a greater view of attack indicators and a true understanding of attackers’ goals and techniques.
Datameer, an end-to-end big data analytics application for the Hadoop ecosystem, today introduced Datameer 5.0 with Smart Execution, a new patent-pending technology that intelligently and dynamically selects the best-of-breed compute framework at each step in the big data analytics process.
Hadoop YARN (Yet Another Resource Negotiator) is a resource-management platform responsible for managing compute resources in clusters and using them for scheduling of user applications. YARN was added as part of Hadoop 2.0. Over the past several months of going to conferences like Hadoop Summit, attending big data Meetup groups like LA Big Data Users […]