Practical Hive A Guide to Hadoop's Data Warehouse System
Dive 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 an...
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ftunistlouisbrus:oai:dial.uclouvain.be:ebook:86028 2023-05-15T16:02:00+02:00 Practical Hive A Guide to Hadoop's Data Warehouse System Shaw, Scott Kjerrumgaard, David Gupta, Ankur Vermeulen, Andreas François 2016 http://hdl.handle.net/2078/ebook:86028 https://doi.org/10.1007/978-1-4842-0271-5 eng eng Apress ebook:86028 http://hdl.handle.net/2078/ebook:86028 doi:10.1007/978-1-4842-0271-5 urn:ISBN:9781484202715 Database management File organization (Computer science) Data structures (Computer science) Computer security Computer science QA75.5 info:eu-repo/semantics/other 2016 ftunistlouisbrus https://doi.org/10.1007/978-1-4842-0271-5 2018-05-16T22:29:55Z Dive 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. . Other/Unknown Material DML DIAL@USL-B (Université Saint-Louis, Bruxelles) Andreas ENVELOPE(-60.729,-60.729,-64.008,-64.008) Berkeley, CA |
institution |
Open Polar |
collection |
DIAL@USL-B (Université Saint-Louis, Bruxelles) |
op_collection_id |
ftunistlouisbrus |
language |
English |
topic |
Database management File organization (Computer science) Data structures (Computer science) Computer security Computer science QA75.5 |
spellingShingle |
Database management File organization (Computer science) Data structures (Computer science) Computer security Computer science QA75.5 Shaw, Scott Kjerrumgaard, David Gupta, Ankur Vermeulen, Andreas François Practical Hive A Guide to Hadoop's Data Warehouse System |
topic_facet |
Database management File organization (Computer science) Data structures (Computer science) Computer security Computer science QA75.5 |
description |
Dive 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. . |
format |
Other/Unknown Material |
author |
Shaw, Scott Kjerrumgaard, David Gupta, Ankur Vermeulen, Andreas François |
author_facet |
Shaw, Scott Kjerrumgaard, David Gupta, Ankur Vermeulen, Andreas François |
author_sort |
Shaw, Scott |
title |
Practical Hive A Guide to Hadoop's Data Warehouse System |
title_short |
Practical Hive A Guide to Hadoop's Data Warehouse System |
title_full |
Practical Hive A Guide to Hadoop's Data Warehouse System |
title_fullStr |
Practical Hive A Guide to Hadoop's Data Warehouse System |
title_full_unstemmed |
Practical Hive A Guide to Hadoop's Data Warehouse System |
title_sort |
practical hive a guide to hadoop's data warehouse system |
publisher |
Apress |
publishDate |
2016 |
url |
http://hdl.handle.net/2078/ebook:86028 https://doi.org/10.1007/978-1-4842-0271-5 |
long_lat |
ENVELOPE(-60.729,-60.729,-64.008,-64.008) |
geographic |
Andreas |
geographic_facet |
Andreas |
genre |
DML |
genre_facet |
DML |
op_relation |
ebook:86028 http://hdl.handle.net/2078/ebook:86028 doi:10.1007/978-1-4842-0271-5 urn:ISBN:9781484202715 |
op_doi |
https://doi.org/10.1007/978-1-4842-0271-5 |
op_publisher_place |
Berkeley, CA |
_version_ |
1766397649315954688 |