EAN: 9781484222461

SQL ON BIG DATA - SUMIT PAL KARTONIERT (TB)

Learn various commercial and open source products that perform SQL on Big Data platforms. You
will understand the architectures of the various SQL engines being used and how the tools work
internally in terms of execution  data movement  latency  scalability  performance  and system
requirements. This book consolidates in one place solutions to the challenges associated with
the requirements of speed  scalability  and the variety of operations needed for data
integration and SQL operations. After discussing the history of the how and why of SQL on Big
Data  the book provides in-depth insight into the products  architectures  and innovations
happening in this rapidly evolving space. SQL on Big Data discusses in detail the innovations
happening  the capabilities on the horizon  and how they solve the issues of performance and
scalability and the ability to handle different data types. The book covers how SQL on Big Data
engines are permeating the OLTP  OLAP  and Operational analytics space and the rapidly evolving
HTAP systems. You will learn the details of: Batch Architectures -Understand the internals and
how the existing Hive engine is built and how it is evolving continually to support new
features and provide lower latency on queries Interactive Architectures -Understanding how SQL
engines are architected to support low latency on large data sets Streaming Architectures
-Understanding how SQL engines are architected to support queries on data in motion using
in-memory and lock-free data structures Operational Architectures -Understanding how SQL
engines are architected for transactional and operational systems to support transactions on
Big Data platforms Innovative Architectures -Explore the rapidly evolving newer SQL engines on
Big Data with innovative ideas and concepts Who This Book Is For: Business analysts  BI
engineers  developers  data scientists and architects  and quality assurance professionals

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