In today„s world rapid growth of computer and internet causes an efficient storage and retrieval of data. Big data requires
exceptional technologies to efficiently process large quantities of data within tolerable elapsed times. As big data is
explode in many companies. One of critical decision facing companies on bigdata project is which database to use Sql or
Nosql. So currently most industry experts prefer to work with both as the need requires.SQL is structured query language
. SQL enables increased interaction with data. It also allows a broad set of questions to be asked against a single database
design. That‟s key since data that‟s not interactive is essentially useless, and increased interactions lead to new insight,
new questions and more meaningful future interactions. SQL is standardized, allowing users to apply their knowledge
across systems and providing support for third-party add-ons and tools.SQL is orthogonal to data representation and
storage. Some SQL systems support JSON and other structured object formats with better performance and more features
than NoSQL implementations.
When we talk about Big Data in the NoSQL space, we‟re referring to reads and writes from operational databases – that
is, the online transaction processing that people interact with and engage in on a daily basis .Operational databases are not
to be confused with analytical databases, which generally look at a large amount of data and collect insights from that
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