NOSQL solutions

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This body of work gives an insight into various NoSQL solutions. It also explains each of them and defines the pros and cons of choosing each of these Solutions. NoSQL database stands for “Not Only SQL” or “Not SQL Carl Strozz introduced the NoSQL concept in 1998. The idea of NoSQL databases became popular with Internet giants like Google, Facebook, Amazon, etc., who deal with vast volumes of data. This thesis explains various solutions such as MongoDB, CouchDB, Hbase, Elastic search and many more best for Rapid Application Development. NoSQL is the best selection for flexible data storage with little to no structure limitations. This body of work also contains reasons for using each of those solutions and comparing them with their qualities, properties, and requirements.

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NOSQL., JSON, SYSTEM REQUIREMENTS, DATABASE
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