Some Big Data companies are beginning to look at ways of taking the SQL language and allow these queries to be performed on Hadoop.

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The first was to rewrite an IBM database language called SQL into a form that would allow it to run on all kinds of computers, from mainframes to desktops.

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Puppet has followed the evolution of most declarative systems such as HTML or SQL. At first, basic needs could be expressed in the declarative language, but as the nature of the work being performed became better understood, the declarative language became more powerful and could describe more complex and sophisticated results.

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To build the bridge between SQL and MapReduce, Aster has created three keyword extensions to SQL, which allow users to extend queries through a modeling capability that simplifies the necessary language for creating a MapReduce query.

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