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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| Beteiligte Personen: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[Place of publication not identified]
Apress
[2016]
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| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781484202715/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | Online resource; title from cover (Safari, viewed January 26, 2017) |
| Umfang: | 1 Online-Ressource (1 volume) illustrations |
| ISBN: | 1484202716 9781484202715 |
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| spelling | Shaw, Scott 1970- VerfasserIn aut Practical hive a guide to Hadoop's data warehouse system Scott Shaw, Andreas François Vermeulen, Ankur Gupta, David Kjerrumgaard [Place of publication not identified] Apress [2016] ©2016 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from cover (Safari, viewed January 26, 2017) 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. Apache Hadoop Data warehousing Entrepôts de données (Informatique) Vermeulen, Andreas François VerfasserIn aut Gupta, Ankur 1978- VerfasserIn aut Kjerrumgaard, David VerfasserIn aut |
| spellingShingle | Shaw, Scott 1970- Vermeulen, Andreas François Gupta, Ankur 1978- Kjerrumgaard, David Practical hive a guide to Hadoop's data warehouse system Apache Hadoop Data warehousing Entrepôts de données (Informatique) |
| title | Practical hive a guide to Hadoop's data warehouse system |
| title_auth | Practical hive a guide to Hadoop's data warehouse system |
| title_exact_search | Practical hive a guide to Hadoop's data warehouse system |
| title_full | Practical hive a guide to Hadoop's data warehouse system Scott Shaw, Andreas François Vermeulen, Ankur Gupta, David Kjerrumgaard |
| title_fullStr | Practical hive a guide to Hadoop's data warehouse system Scott Shaw, Andreas François Vermeulen, Ankur Gupta, David Kjerrumgaard |
| title_full_unstemmed | Practical hive a guide to Hadoop's data warehouse system Scott Shaw, Andreas François Vermeulen, Ankur Gupta, David Kjerrumgaard |
| title_short | Practical hive |
| title_sort | practical hive a guide to hadoop s data warehouse system |
| title_sub | a guide to Hadoop's data warehouse system |
| topic | Apache Hadoop Data warehousing Entrepôts de données (Informatique) |
| topic_facet | Apache Hadoop Data warehousing Entrepôts de données (Informatique) |
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