Easy, hands-on recipes to help you understand Hive and its integration with frameworks that are used widely in today's big data worldAbout This BookGrasp a complete reference of different Hive topics.Get to know the latest recipes in development in Hive including CRUD operationsUnderstand Hive internals and integration of Hive with different frameworks used in today's world.Who This Book Is ForThe book is intended for those who want to start in Hive or who have basic understanding of Hive framework. Prior knowledge of basic SQL command is also required What You Will LearnLearn different features and offering on the latest HiveUnderstand the working and structure of the Hive internalsGet an insight on the latest development in Hive frameworkGrasp the concepts of Hive Data ModelMaster the key concepts like Partition, Buckets and StatisticsKnow how to integrate Hive with other frameworks such as Spark, Accumulo, etcIn DetailHive was developed by Facebook and later open sourced in Apache community. Hive provides SQL like interface to run queries on Big Data frameworks. Hive provides SQL like syntax also called as HiveQL that includes all SQL capabilities like analytical functions which are the need of the hour in today's Big Data world.This book provides you easy installation steps with different types of metastores supported by Hive. This book has simple and easy to learn recipes for configuring Hive clients and services. You would also learn different Hive optimizations including Partitions and Bucketing. The book also covers the source code explanation of latest Hive version.Hive Query Language is being used by other frameworks including spark. Towards the end you will cover integration of Hive with these frameworks.Style and approach Starting with the basics and covering the core concepts with the practical usage, this book is a complete guide to learn and explore Hive offerings.

Apache Hive Cookbook

Computers & Technology

Mehrotra, Shrey

Bansal, Hanish

Chauhan, Saurabh

Software

Packt Publishing

<p><p><b>A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark.</b></p> <h4>Key Features</h4> <ul> <li>Learn about the core concepts and the latest developments in Apache Spark</li> <li>Master writing efficient big data applications with Spark's built-in modules for SQL, Streaming, Machine Learning and Graph analysis</li> <li>Get introduced to a variety of optimizations based on the actual experience</li> </ul> <h4>Book Description</h4> <p>Apache Spark is a flexible framework that allows processing of batch and real-time data. Its unified engine has made it quite popular for big data use cases. This book will help you to get started with Apache Spark 2.0 and write big data applications for a variety of use cases.</p> <p>It will also introduce you to Apache Spark - one of the most popular Big Data processing frameworks. Although this book is intended to help you get started with Apache Spark, but it also focuses on explaining the core concepts.</p> <p>This practical guide provides a quick start to the Spark 2.0 architecture and its components. It teaches you how to set up Spark on your local machine. As we move ahead, you will be introduced to resilient distributed datasets (RDDs) and DataFrame APIs, and their corresponding transformations and actions. Then, we move on to the life cycle of a Spark application and learn about the techniques used to debug slow-running applications. You will also go through Spark's built-in modules for SQL, streaming, machine learning, and graph analysis.</p> <p>Finally, the book will lay out the best practices and optimization techniques that are key for writing efficient Spark applications. By the end of this book, you will have a sound fundamental understanding of the Apache Spark framework and you will be able to write and optimize Spark applications.</p> <h4>What you will learn</h4> <ul> <li>Learn core concepts such as RDDs, DataFrames, transformations, and more</li> <li>Set up a Spark development environment</li> <li>Choose the right APIs for your applications</li> <li>Understand Spark's architecture and the execution flow of a Spark application</li> <li>Explore built-in modules for SQL, streaming, ML, and graph analysis</li> <li>Optimize your Spark job for better performance</li> </ul> <h4>Who this book is for</h4> <p>If you are a big data enthusiast and love processing huge amount of data, this book is for you. If you are data engineer and looking for the best optimization techniques for your Spark applications, then you will find this book helpful. This book also helps data scientists who want to implement their machine learning algorithms in Spark. You need to have a basic understanding of any one of the programming languages such as Scala, Python or Java.</p></p>

Apache Spark Quick Start Guide

Grade, Akash

Programming

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