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Product Identifiers
PublisherApress L. P.
ISBN-101484202724
ISBN-139781484202722
eBay Product ID (ePID)201558071
Product Key Features
Number of PagesXxi, 265 Pages
LanguageEnglish
Publication NamePractical Hive : a Guide to Hadoop's Data Warehouse System
SubjectProbability & Statistics / General, General, Databases / Data Warehousing, Databases / General
Publication Year2016
FeaturesNew Edition
TypeTextbook
Subject AreaMathematics, Computers
AuthorCindy Gross, David Kjerrumgaard, Andreas Francois Vermeulen, Scott Shaw, Ankur Gupta
FormatTrade Paperback
Dimensions
Item Weight194.9 Oz
Item Length10 in
Item Width7 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2016-951940
Dewey Edition23
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal005.74/5
Edition DescriptionNew Edition
Table Of ContentChapter 1: Setting the Stage for Hive: Hadoop.- Chapter 2: Introducing Hive.- Chapter 3: Hive Architecture.- Chapter 4: Hive Tables DDL.- Chapter 5: Data Manipulation Language (DML).- Chapter 6: Loading Data into Hive.- Chapter 7: Querying Semi-Structured Data.- Chapter 8: Hive Analytics.- Chapter 9: Performance Tuning: Hive.- Chapter 10: Hive Security.- Chapter 11: Future of Hive.- Chapter 12: Appendix A. Building a Big Data Team.- Chapter 13: Appendix B. Hive Functions.
SynopsisDive into the world of SQL on Hadoop and get the most out of your Hive data warehouses. This book is your go-to resource for using Hive: authors Scott Shaw, Ankur Gupta, David Kjerrumgaard, and Andreas Francois Vermeulen take you through learning HiveQL, the SQL-like language specific to Hive, to analyze, export, and massage the data stored across your Hadoop environment. From deploying Hive on your hardware or virtual machine and setting up its initial configuration to learning how Hive interacts with Hadoop, MapReduce, Tez and other big data technologies, Practical Hive gives you a detailed treatment of the software. In addition, this book discusses the value of open source software, Hive performance tuning, and how to leverage semi-structured and unstructured data. What You Will Learn Install and configure Hive for new and existing datasets Perform DDL operations Execute efficient DML operations Use tables, partitions, buckets, and user-defined functions Discover performance tuning tips and Hive best practices Who This Book Is For Developers, companies, and professionals who deal with large amounts of data and could use software that can efficiently manage large volumes of input. It is assumed that readers have the ability to work with SQL.
LC Classification NumberQA76.9.B45
