• How to tell the difference between good and bad code
• How to write good code and how to transform bad code into good code
• How to create good names, good functions, good objects, and good classes
• How to format code for maximum readability
• How to implement complete error handling without obscuring code logic
• How to unit test and practice test-driven development

Get up to speed on Scala--the JVM, JavaScript, and natively compiled language that offers all the benefits of functional programming, a modern object model, and an advanced type system. Packed with code examples, this comprehensive book shows you how to be productive with the language and ecosystem right away. You'll learn why Scala is ideal for building today's highly scalable, data-centric applications while maximizing developer productivity.

While Java remains popular and Kotlin has become popular, Scala hasn't been sitting still. This third edition covers the new features in Scala 3 with updates throughout the book. Programming Scala is ideal for beginning to advanced developers who want a complete understanding of Scala's design philosophy and features with a thoroughly practical focus.

• Program faster with Scala's succinct and flexible syntax
• Dive into basic and advanced functional programming techniques
• Build killer big data and distributed apps using Scala's functional combinators and tools like Spark and Akka
• Create concise solutions to challenging design problems with the sophisticated type system, mixin composition with traits, pattern matching, and more

Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructure. You’ll quickly learn how to use Hive’s SQL dialect—HiveQL—to summarize, query, and analyze large datasets stored in Hadoop’s distributed filesystem.

This example-driven guide shows you how to set up and configure Hive in your environment, provides a detailed overview of Hadoop and MapReduce, and demonstrates how Hive works within the Hadoop ecosystem. You’ll also find real-world case studies that describe how companies have used Hive to solve unique problems involving petabytes of data.

• Use Hive to create, alter, and drop databases, tables, views, functions, and indexes
• Customize data formats and storage options, from files to external databases
• Load and extract data from tables—and use queries, grouping, filtering, joining, and other conventional query methods
• Gain best practices for creating user defined functions (UDFs)
• Learn Hive patterns you should use and anti-patterns you should avoid
• Integrate Hive with other data processing programs
• Use storage handlers for NoSQL databases and other datastores
• Learn the pros and cons of running Hive on Amazon’s Elastic MapReduce

Software development today is embracing functional programming (FP), whether it's for writing concurrent programs or for managing Big Data. Where does that leave Java developers? This concise book offers a pragmatic, approachable introduction to FP for Java developers or anyone who uses an object-oriented language.

Dean Wampler, Java expert and author of Programming Scala (O'Reilly), shows you how to apply FP principles such as immutability, avoidance of side-effects, and higher-order functions to your Java code. Each chapter provides exercises to help you practice what you've learned. Once you grasp the benefits of functional programming, you’ll discover that it improves all of the code you write.

• Learn basic FP principles and apply them to object-oriented programming
• Discover how FP is more concise and modular than OOP
• Get useful FP lessons for your Java type design—such as avoiding nulls
• Design data structures and algorithms using functional programming principles
• Write concurrent programs using the Actor model and software transactional memory
• Use functional libraries and frameworks for Java—and learn where to go next to deepen your functional programming skills