Disadvantage of Spark SQL

Spark SQL - Features, Advantage and Disadvantage!

What Is Spark SQL?

The Spark SQL is used for real-time, in-memory and parallelized SQL-on-Hadoop engine.
The Spark SQL is not a general purpose SQL layer and it’s used to allow us to do several advanced analytics with data.

The Spark SQL supports only a subset of SQL functionality and users have to write code in Java, Python and so on to execute a query.
Great Features of Spark SQL -
ü  Spark SQL provides security through encryption using SSL for HTTP protocols.
ü  The Spark SQL supports lots of features to analysis the large scale of data.
ü  The Spark SQL supports lots of data types for machine learning.
ü  In the Spark SQL, you can easily to write data pipelines.
ü  In the Spark SQL, easy to add optimization rules, data types and data source by using the Scala programming language

When To Use Spark SQL?
Spark SQL is the best SQL-on-Hadoop tool and best used of Spark SQL is fetch data for diverse machine learning tasks.

Disadvantage of Spark SQL -
The Spark SQL is lacks advanced security features.


I hope you are enjoying with this post! Please share with you friends!! Thank you!!!
ANIL SINGH

Anil Singh is an author, tech blogger, and software programmer. Book writing, tech blogging is something do extra and Anil love doing it. For more detail, kindly refer to this link..
My Blogs - https://code-sample.com and https://code-sample.xyz
My Book1 - BEST SELLING ANGULAR BOOK (INCLUDING ALL VERSIONS 2, 4, 5, 6, 7)
My Book2 - ANGULAR 2 INTERVIEW QUESTIONS BOOK - Both Books are Available on WorldWide.

www.code-sample.com/. Powered by Blogger.