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As the SQL and NoSQL worlds continue to converge in the pursuit of comprehensive Big Data analytics solutions, a Silicon Valley start-up wants to provide a bridge between the two with RESTful APIs.
Structured Query Language (SQL) is a proven winner that has dominated for several decades and is currently being aggressively invested in by big data companies and organizations such as Google ...
Google and Yahoo broke large databases and distributed them across multiple servers, that led to distributed databases—which then founded advanced databases like NoSQL and new processing ...
In an age of NoSQL and Hadoop, original "Big 3" RDBMS vendor Oracle Corp. is getting back to its roots with a new product designed to integrate access across all three data stores with a single SQL ...
For example, a popular data format being used in certain NoSQL database platforms is JSON, which stands for JavaScript Object Notation. Oracle has worked to extend the SQL standard to support JSON ...
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 ...
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 ...
Many technology companies assume that everyone out there "speaks the same language" as they do. In the NoSQL and big data arena, there is a lot of confusion and hype. Buzz words like "unified data ...
The evolving landscape of NoSQL databases and NoSQL database management systems (NoSQL DBMS) has everything to do with Big Data analytics.
Additionally, their data structures are different, improving the speed with which certain data types are handled. This is known as a document-oriented data model. “Of course, NoSQL is not the solution ...
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