
Sách gia công, bìa mềm
Thể loại:Computers - Programming
Năm:2014
Ngôn ngữ:english
Trang:152
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
Thêm đánh giá