Reasons SQL is Becoming the Choice of Language for the Big Data Analysis

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Reasons SQL is Becoming the Choice of Language
for the Big Data Analysis
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Ever since Big Data has been added as a popular
tern in the dictionary of business technology and
IT, it has been essentially connected with the
anything-but-SQL, or the no-SQL movement.
However, it is being realised now that SQL is
experiencing much of a renaissance. The approach
is shifting from no-SQL towards not-only-SQL.
This has led to creation of SQL bases
implementation that id designed to complement Big
Data. Even no-SQL vendors like Cassandra are
employing some aspects of SQL. The level of
interest towards SQL is growing and re-emerging.
Probably, SQL ever went away completely.
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• This re-emergence in the level of interest has
  raised popularity for oracle SQL developer
  training courses and online data structures and
  algorithms course. Reasons behind the re-emerging
  SQL are as follows
• Our generation of developers have grown using
  SQL.
• There are legions of applications and tools
  using SQL today.
• A platform providing SQL can leverage existing
  SQL ecosystem.

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All in all, SQL language is a very popular
language and the popularity is and will be
growing as SQL is constantly being developed to
adopt new use cases and new data types. It is not
by default that SQL is the primary language for
Big Data, but a conscious choice, realizing that
SQL is the best language for basic data analysis.
One can take oracle SQL developer training
courses, for better career in IT industry.
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