Learn how to write, tune, and port SQL queries and other statements for
a Big Data environment, using Impala--the massively parallel processing
SQL query engine for Apache Hadoop. The best practices in this practical
guide help you design database schemas that not only interoperate with
other Hadoop components, and are convenient for administers to manage
and monitor, but also accommodate future expansion in data size and
evolution of software capabilities.
Written by John Russell, documentation lead for the Cloudera Impala
project, this book gets you working with the most recent Impala releases
quickly. Ideal for database developers and business analysts, the latest
revision covers analytics functions, complex types, incremental
statistics, subqueries, and submission to the Apache incubator.
Getting Started with Impala includes advice from Cloudera's
development team, as well as insights from its consulting engagements
with customers.
- Learn how Impala integrates with a wide range of Hadoop components
- Attain high performance and scalability for huge data sets on
production clusters
- Explore common developer tasks, such as porting code to Impala and
optimizing performance
- Use tutorials for working with billion-row tables, date- and
time-based values, and other techniques
- Learn how to transition from rigid schemas to a flexible model that
evolves as needs change
- Take a deep dive into joins and the roles of statistics
