Explain about HIVE?

Hive is an information distribution center Software based on the highest point of Hadoop for inquiry, Data Summary and examination. It is a SQL like interface to question information put away as information bases and the record frameworks that incorporate with Hadoop. Hive gives fundamental SQ L reflection to coordinate inquiries like HIVE SQL which does the w questions with bring down level of API. Since a large number of the information product lodging application works with SQL based questioning dialects , Hive has an element of transportability of SQL – based application to hadoop. Know more at Big Data Hadoop  online Training

 Contrasting of Hive and Traditional Data Bases : 

In view of SQL, Hive QL does not entirely take after Full SQL - 92 Standard . It offers an augmentations that are not in SQL which incorporates Multi table embeds and make table as select , however this offers just the fundamental help for lists .It does not have the help for emerged perspectives and exchanges . It bolster for INSERT , Update . The capacity and questioning operations of Hive nearly take after to the information bases while SQl is Language . A blueprint is connected to a table in conventional information bases . For those information bases , the table typiclally implements the outline when information is stacked into the table . This empowers the information bases to guarantee that information entered takes after the portrayal of the table as indicated in the table definition. This plan is called Schema on Write . Hive does not check the information against the table pattern on compose . Yet, it checks for the run time checks when the information is perused .This is called Schema on Read. Quality checks were perfomed against the information at the heap time to guarantee for the information defilement. Early recognition defilement guarantees early special case dealing with .

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