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With this practical book, you'll learn how to write, tune, and port SQL queries and other statements for a Big Data environment using Impala, the open source, MPP SQL query engine for Apache Hadoop. The best practices outlined inside help database developers and business analysts design schemas that interoperate with other Hadoop components, are convenient for administers to manage and monitor, and accommodate future expansion in data size and evolution of software capabilities. Author John Russell from Cloudera's Impala project includes insights from consulting engagements with Cloudera customers and from the Impala development team. Deploy SQL applications on Hadoop Understand the strengths and limitations of Impala's massively parallel processing model for various data-related use cases Learn a mental model for understanding performance characteristics of Impala Optimize queries and other statements Reduce time and effort for porting SQL code to Impala
