کتاب Sql در داده های عظیم

 دانلود کتاب جامع اس کیو ال در داده های عظیم

SQL on Big Data: Technology, Architecture, and Innovation
Sumit Pal
Wilmington, Massachusetts, USA
ISBN-13 (pbk): 978-1-4842-2246-1 ISBN-13 (electronic): 978-1-4842-2247-8
DOI 10.1007/978-1-4842-2247-8
Library of Congress Control Number: 2016958437
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This chapter discusses the history of SQL on big data and why SQL is so essential for
commoditization and adoption of big data in the enterprise. The chapter discusses how
SQL on big data has evolved and where it stands today. It discusses why the current breed
of relational databases cannot live up to the requirements of volume, speed, variability,
and scalability of operations required for data integration and data analytics. As more
and more data is becoming available on big data platforms, business analysts, business
intelligence (BI) tools, and developers all must have access to it, and SQL on big data
provides the best way to solve the access problem. This chapter covers the following:
Why SQL on big data?
SQL on big data goals
SQL on big data landscape—commercial and open source tools
How to choose an SQL on big data
The world is generating humongous amount of data. Figure
1-1 shows the amount of
data being generated over the Internet every minute. This is just the tip of the iceberg. We
do not know how much more data is generated and traverses the Internet in the deep Web