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.
Ideal for database developers and business analysts, 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
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