If you had any doubt that the Big Data and NoSQL database market continue to remain red hot, look no further than today’s announcement that 10gen, makers of the open source mongodb, raised a ...

BURLINGTON, Massachusetts, June 1 — Attunity Ltd., a leading provider of information availability software solutions, announced today the expansion of its Big Data solution for the fast-growing NoSQL ...

In this special guest feature, Ron Bennatan of jSonar provides four practical lessons on how companies can get past the “Hadoop hangover” by using NoSQL solutions. Ron Bennatan is a co-founder at ...

The annual Oracle OpenWorld conference got underway this week, and I was among thousands of attendees swarming into San Francisco's Moscone Center to hear Larry Ellison's keynote opener on Sunday ...

Sqrrl, the company that develops secure NoSQL database software for Big Data applications, has collaborated with Macmillan Education Australia, a leading educational publisher, to help them power a ...

Why the roles for NoSQL and Big Data are broadly misunderstood today How market enthusiasm for these loosely-defined domains has challenged traditional data modeling assumptions Why data modeling is ...

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 ...

Tiered storage will help enterprises reduce their storage expenditure as they continue to adopt AI use cases for various ...

Cohesity today said it acquired Imanis Data, which provides data management and backup for Hadoop and NoSQL workloads and databases, for an undisclosed amount. These capabilities, along with new ...

DataStax, which sells products built on top of the open source “NoSQL” data store Apache Cassandra, just announced a $11 million investment from Crosslink Capital and Lightspeed Venture Partners.The ...

Big data engineers develop, maintain, test, and evaluate big data solutions within organizations. Duties include resolving ambiguities in data, performance optimization, and data extraction. Big data ...