Hive Architecture

  • Scott Shaw
  • Andreas François Vermeulen
  • Ankur Gupta
  • David Kjerrumgaard
Chapter

Abstract

This chapter digs deeper into the core Hive components and architecture and will set the stage for even deeper discussions in later chapters. Here you will see what makes Hive tick, and what value its architecture provides over traditional relational systems. Make no mistake about it, Hive is complicated but its complexity is surmountable and will be familiar to those who make a living accessing data. Keep in mind too that, like any software development project, Hive is constantly changing and changing fast. Competition in the SQL-on-Hadoop space is driving community innovation at a phenomenal rate. This chapter helps you navigate the core of Hive and aids you in the ride.

Keywords

Execution Engine Software Development Project Hadoop Cluster Open Source Community Table Definition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Scott Shaw, Andreas Francois Vermeulen, Ankur Gupta, David Kjerrumgaard 2016

Authors and Affiliations

  • Scott Shaw
    • 1
  • Andreas François Vermeulen
    • 2
  • Ankur Gupta
    • 3
  • David Kjerrumgaard
    • 4
  1. 1.Saint LouisUSA
  2. 2.West Kilbride North AyrshireUK
  3. 3.UxbridgeUK
  4. 4.HendersonUSA

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