The term Big Data is an all-encompassing phrase that has various subdivisions addressing different needs of the customers. The most common description of Big Data talks about the four V’s: Volume, ...

The combined Hadoop-NoSQL market will exceed $3 billion in revenues in 2017 predicts Wikibon’s “Hadoop-NoSQL Software and Services Forecast, 2013-2017”. What’s driving growth is a major shift away ...

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 ...

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 ...

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 ...

Cohesity also is expanding its data protection and management capabilities with native Kubernetes container and Microsoft OneDrive capabilities. Data protection software and appliance developer ...

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 ...

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 ...

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 ...

The demand for job skills related to data processing — NoSQL, Apache Hadoop, Python, and a smattering of other such skills — has hit all-time highs, according to statistics collected by tech job site ...

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 ...