Sentence examples for big data storage processing from inspiring English sources

Among the leading platforms for big data storage, processing, and management include Hadoop MapReduce, IBM Infosphere Streams, Stratosphere, Spark, and NoSQL-database system management (e.g. [1, 28, 53, 60, 62, 63]).

As human-related databases continue to grow not only in count but also in volume, challenges are ahead in big data storage, processing, exchange and curation.

Big data storage and processing.

(2) Big data storage and processing  .

The demand for big data storage and processing has become a challenge in today's industry.

This big data storage and processing load are efficiently handled by data centers and processors residing on the cloud which ensures green analytics.

Hadoop MapReduce has become the primary big data storage and processing system given its simplicity, scalability, and fine-grain fault tolerance [59].

NoSQL databases play a prominent role in big data storage and processing and are used in various business, commercial and social applications such as Twitter, Facebook, Google mail, and Yahoo, to name a few.

Presently, big data storage and processing are mostly based on large scale servers with relational database management systems, which need huge investment and have a shortage of low utilization ratio and poor scalability.

Singh and Singla [60] provide an overview of the leading tools and technologies for big data storage and processing, throw some light on other big data emerging technologies, as well as cover the business areas from which big data are being generated.

We see big data storage solutions and processing platforms.