Apache Hive is the new member in database family that works within the Hadoop ecosystem. It provides all great features like data summarization, ad-hoc query, and analysis of large datasets. If you are not a good programmer, then this edition will teach you how to use hive queries without writing complex codes.Most users face the problem of not getting a dedicated course on Hive. The goal of this ...
Paperback: 69 pages
Publisher: Independently published (June 28, 2017)
Product Dimensions: 8.5 x 0.2 x 11 inches
Amazon Rank: 2598082
Format: PDF ePub Text TXT fb2 ebook
- Krishna Rungta epub
- Krishna Rungta books
- 1521596778 epub
- pdf books
- 978-1521596777 epub
Such a great book with sufficient knowledge how you can master Apache Hive. Well written and has easy to understand language. There are steps how you can install it, illustrations and screen shots can help you to understand the topic better. This boo...
o cater everything about Hive and only Hive with minimum jargons. The notes, lessons and hands-on examples in this small e-book are simplified and tactfully presented to solve all your Hive queries. Instead of writing long code for MapReduce or Java, the e-book shows tips on writing the same program with a minimum code snippet.Beginners as well as peers will thoroughly enjoy this book. They will discover and learn more hive patterns for data processing and data integrations. Unlike other e-book, where they skip basic detail thinking users having prior subject knowledge. This edition has given complete attention to each and every small aspect of the hive like “how to set up and configure Hive in your environment”.This e-book is also helpful for those who just want to explore Hive and don’t want to spend big bucks for short courses. You will quickly learn, apply and share your Hive knowledge with this e-book.Table of contentChapter 1: IntroductionWhat is Hive?Hive ArchitectureDifferent modes of HiveWhat is Hive Server2 (HS2)?Hive vs Map ReduceChapter 2: Installation and ConfigurationInstallation of HiveHive shell commandsInstall and configure MYSQL databaseChapter 3: Data operationsData types in HiveCreation and dropping of Database in HiveCreate, Drop and altering of tables in HiveTable types and its UsagePartitionsBucketsChapter 4: Queries and ImplementationOrder by queryGroup by querySort byCluster ByDistribute ByJoin queriesDifferent type of joinsSub queriesEmbedding custom scriptsUDFs (User Define Functions)Chapter 5: Query Language, Built-in Operators and FunctionsHive Query Language (HQL)Built-in operatorsBuilt-in functionsChapter 6: Data ExtractionWorking with Structured Data using HiveWorking with Semi structured data using Hive (XML, JSON)Hive in Real time projects – When and Where to Use