NoSQL Databases are available in many and diverse varieties tailored for differing data collection and Big Data analytics applications: Content Store (content repository): large, complex data ...

The learning curve of NoSQL databases is quite fast, especially for in-house database skills. 7 Data Variety Causes the Most Issues Data volume is not the big issue for most CIOs; it’s the data ...

Back in 2009, SQL databases began emerging, mainly to handle modern Web-scale databases. They could handle massive amounts of data; tackle the exponential growth of newly created digital content ...

Most active multivalue database brands (as reported by DB Engines rankings): Adabas, UniData,UniVerse, jBASE Discover more about NoSQL Databases and how they help make Big Data analytics faster ...

Reason #4. NoSQL warehousing can “Drain” the security big data lakes. While the focus of Big Data has often started with creating “big data lakes”, many organizations have learned that landing the ...

NoSQL databases manage large volumes of data in systems such as Web applications. The future, though, could see NoSQL systems fitted for real-time analytics,as well as being part of a ...

TYSONS CORNER, Va., April 10 — MicroStrategy Incorporated, a leading worldwide provider of enterprise software platforms, today announced that it has certified the MarkLogic Enterprise NoSQL database ...

Using big data to extract value from your data is one thing. However, using NoSQL can increase your technical debt and put your enterprise at risk of data integrity and the lack of resilience.rn ...

The latest trends in big data analytics were presented by Objectivity, Inc. and Database Trends and Applications in a webcast that is now available for replay. Moderated by Tom Wilson, president of ...

If I asked you for the defining characteristic of a big data customer, you’d probably say they’re sitting on large amounts of data. If I asked for the defining characteristic of a NoSQL ...