Coho Data, a leading innovator and provider of true scale-out all flash storage architecture and infrastructure solutions for private clouds, announced DataStream 2.8, helping to make the Software-Defined Data Center (SDDC) a reality.
Waterline Data, The Smart Data Catalog Company, continues to clear the hurdles impeding Hadoop adoption in the enterprise by announcing the immediate availability of Smart Data Catalog 3.0.
In this special guest feature, Carole Gunst, Marketing Director at Attunity, offers four best practices for setting up your data lake in Hadoop.
In this special lab validation brief, EMC Isilon Scale-Out Data Lake Foundation, you’ll learn how the EMC Isilon product family is an easy to operate, highly scalable and efficient Enterprise Data Lake Platform (EDLP).
While at Hadoop Summit 2016, I had the opportunity to catch up with Matthew Morgan, Vice President, Product and Alliance Marketing at Hortonworks, to discuss all the progress the company has made in the past year.
In this special guest feature, Mike Hoskins, CTO at Actian, offers some hard won tips for how to avoid the immaturity “cost iceberg” that hampers Hadoop adoption today.
Cloudera, the global provider of the data management and analytics platform built on Apache Hadoop and the latest open source technologies, and Centrify, a leader in securing enterprise identities, announced that Centrify has joined the Open Network Insight (ONI) project.
The presentation below from Hadoop Summit 2016 shares how Macy’s successfully made BI work on Hadoop. You’ll see how the company kept the top spot as the largest US department store by innovating with interactive, self-service Business Intelligence directly on Hadoop.
In this special technology white paper, “Scale-out Data Lake Solution Built on EMC Isilon,” you’ll learn all the essentials a data lake based on EMC Isilon provides- CAPEX savings, OPEX savings, elimination of storage silos, regulatory compliance, and multi-protocol access.
The infographic below shows the results of a recent Pepperdata study of over 100 production Hadoop clusters to uncovered the eight most common and insidious symptoms of cluster flux. See how your cluster stacks up.