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Big data security specialist Zettaset is joining forces with security hardware vendor Utimaco to offer an integrated data encryption security module for use with Hadoop and NoSQL. The partners said ...
While Hadoop, a platform for big data analytics, and NoSQL, a database technology for enterprise, web, mobile, and IoT applications, may seem different, they do complement each other. In a recent DBTA ...
Striking a strategic alliance, MapR Technologies Inc. and MongoDB Inc. bring their respective camps of the analytics movement closer together as growing enterprise adoption makes the need for ...
MapR-DB with Hadoop powers real-time, data-driven applications NEW YORK–(BUSINESS WIRE)–October 15, 2014– MapR Technologies, Inc., provider of the top-ranked distribution for Apache™ Hadoop®, today ...
NoSQL and Hadoop—two foundations of the emerging agile data architecture—have been on the scene for several years now, and, industry observers say, adoption continues to accelerate—especially within ...
I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...
Document databases are an integral part of the application stack, but they often have scalability issues and they tend to end up off to the side of the Hadoop systems that are increasingly being used ...
Cohesity also is expanding its data protection and management capabilities with native Kubernetes container and Microsoft OneDrive capabilities. Data protection software and appliance developer ...
Talend earlier this month released version 5.2 of it open source integration platform, touting new support for NoSQL databases and Apache Hadoop big data profiling. The company said it has focused on ...
diginomica is largely a business focused technology property. We are less concerned with the minutiae of the technology and lean more towards what it delivers. But in recent weeks, we've been spending ...
There is a lot of data out there, and much of it doesn’t need to be stored in heavyweight relational databases, with complex query languages. That is particularly true of modern cloud applications and ...