Bright Computing, the leading provider of hardware-agnostic cluster and cloud management software, announced the release of Version 7.2 of its industry-leading Bright Cluster Manager software solutions, including Bright Cluster Manager for HPC, Bright Cluster Manager for Big Data, and Bright OpenStack.
Above the Trend Line: machine learning industry rumor central, is a new recurring feature of insideBIGDATA. In this column, we’ll present a variety of short news items such as people movements, funding news, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.
MapR Technologies, Inc., provider of the converged data platform that integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage, announced that several MapR partners have integrated technologies with the MapR data platform and made them freely available for education, demonstration, and evaluation purposes via Amazon Web Services (AWS) Test Drive for Big Data.
Big data as a service provider, Bigstep, announced the launch a data lake as a service offering. The Full Metal Data Lake is part of Bigstep’s Full Metal Cloud, the world’s highest performance cloud specifically built for big data applications.
Qubole, the big data-as-a-service company, today announced the availability of Apache Spark on Qubole Data Service (QDS) for Google Cloud Platform.
In this special guest feature, Ben Werther, Founder and Executive Chairman of Platfora, shares his thoughts about how many view the data lake as a big data Holy Grail and what the future may hold for this segment of the big data technology stack.
If 84% of companies are adopting Big Data projects this year, why are 92% of them still seeing obstacles in their implementation? That is what a global study commissioned by CA Technologies explored.
In this new insideBIGDATA Guide to Scientific Research, the goal is to provide a road map for scientific researchers wishing to capitalize on the rapid growth of big data technology for collecting, transforming, analyzing, and visualizing large scientific data sets.
Cazena Announces Big Data as-a-Service Solutions for Enterprise-ready Data Lakes and Data Marts in the Cloud
Cazena announced the general availability of two of its Big Data as-a-Service solutions that simplify big data processing in the cloud, Data Lake as a Service and Data Mart as a Service.