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In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other best practices in Spark programming. You’ll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques—including classification, clustering, collaborative filtering, and anomaly detection—to fields such as genomics, security, and finance. If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you’ll find the book’s patterns useful for working on your own data applications.

Be prepared for your next job interview with this tried-and-true advice In today's tight job market, competition for programming jobs is hotter than ever. This edition of a popular guide to programming interviews includes new code examples, information on the latest languages, new chapters on sorting and design patterns, tips on using LinkedIn, and a downloadable app to help prepare applicants for the interview. Like its earlier editions, this guide covers what software companies and IT departments want their programmers to know and includes plenty of helpful hints to boost your confidence. Looks at current job search and hiring processes, such as the rise of LinkedIn and other social networks as recruiting resources Addresses the most important languages for a programmer to know and features examples in multiple languages Includes new programming questions designed to sharpen your knowledge Features all-new chapters on design patterns and sorting, including how to deal with memory constraints and mobility issues Walk into your next job interview with confidence, knowing you have thoroughly studied this newest edition of Programming Interviews Exposed.