Two sessions focused on the popular column-based NoSQL data store Cassandra, which was created by Facebook, and later used by high-volume sites such as Twitter. Although neither of the sessions was ...
In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...
NoSQL might well be called “the little database engine that could.” It is quietly proving it is on track as Big Data transitions to cloud-based data storage and management. NoSQL is increasingly ...
When it comes to capturing and analyzing data, IT departments have more choices today than ever before. And choice is a good thing. However, in order to pick the right tool for the job, you need to ...
One of the critical decisions facing companies embarking on big data projects is which database to use, and often that decision swings between SQL and NoSQL. SQL has the impressive track record, the ...
Oracle today introduced Oracle Big Data SQL, which allows customers to run one SQL query across Hadoop, NoSQL, and Oracle Database, minimizing data movement while overcoming data silos. According to ...
If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...
Jennifer Zaino is a New York-based freelance writer specializing in business and technology journalism. Her work appears in publications including The Semantic Web Blog, RFID Journal, Smart Enterprise ...
The death of SQL has been greatly exaggerated. With all apologies to Mark Twain, the demise of Structured Query Language (SQL), having been forecasted for a while, is far from a done deal. In fact, ...
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 customer, you ...
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 from ...