Hadoop cluster deployment :: construct a modern Hadoop data platform effortlessly and gain insights into how to manage clusters efficiently /
This book is a step-by-step tutorial filled with practical examples which will show you how to build and manage a Hadoop cluster along with its intricacies. This book is ideal for database administrators, data engineers, and system administrators, and it will act as an invaluable reference if you ar...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham UK :
Packt Publishing,
2013.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This book is a step-by-step tutorial filled with practical examples which will show you how to build and manage a Hadoop cluster along with its intricacies. This book is ideal for database administrators, data engineers, and system administrators, and it will act as an invaluable reference if you are planning to use the Hadoop platform in your organization. It is expected that you have basic Linux skills since all the examples in this book use this operating system. It is also useful if you have access to test hardware or virtual machines to be able to follow the examples in the book. |
| Beschreibung: | "Community experience distilled."--Cover Open source community experience distilled -- title page. Includes index. |
| Beschreibung: | 1 online resource (109 pages) : illustrations |
| ISBN: | 9781783281725 1783281723 1306157714 9781306157711 |
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| 100 | 1 | |a Zburivsky, Danil. | |
| 245 | 1 | 0 | |a Hadoop cluster deployment : |b construct a modern Hadoop data platform effortlessly and gain insights into how to manage clusters efficiently / |c Danil Zburivsky. |
| 264 | 1 | |a Birmingham UK : |b Packt Publishing, |c 2013. | |
| 300 | |a 1 online resource (109 pages) : |b illustrations | ||
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| 500 | |a "Community experience distilled."--Cover | ||
| 500 | |a Open source community experience distilled -- title page. | ||
| 500 | |a Includes index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Setting Up Hadoop Cluster -- from Hardware to Distribution; Choosing Hadoop cluster hardware; Choosing the DataNode hardware; Low storage density cluster; High storage density cluster; NameNode and JobTracker hardware configuration; The NameNode hardware; The JobTracker hardware; Gateway and other auxiliary services; Network considerations; Hadoop hardware summary; Hadoop distributions; Hadoop versions; Choosing Hadoop distribution; Cloudera Hadoop distribution. | |
| 505 | 8 | |a Hortonworks Hadooop distributionMapR; Choosing OS for the Hadoop cluster; Summary; Chapter 2: Installing and Configuring Hadoop; Configuring OS for Hadoop cluster; Choosing and setting up the filesystem; Setting up Java Development Kit; Other OS settings; Setting up the CDH repositories; Setting up NameNode; JournalNode, ZooKeeper, and Failover Controller; Hadoop configuration files; NameNode HA configuration; JobTracker configuration; Configuring the job scheduler; DataNode configuration; TaskTracker configuration; Advanced Hadoop tuning; Summary; Chapter 3: Configuring the Hadoop Ecosystem. | |
| 505 | 8 | |a Hosting the Hadoop ecosystemSqoop; Installing and configuring Sqoop; Sqoop import example; Sqoop export example; Hive; Hive architecture; Installing Hive Metastore; Installing the Hive client; Installing Hive Server; Impala; Impala architecture; Installing Impala state store; Installing the Impala server; Summary; Chapter 4: Securing Hadoop Installation; Hadoop security overview; HDFS security; MapReduce security; Hadoop Service Level Authorization; Hadoop and Kerberos; Kerberos overview; Kerberos in Hadoop; Configuring Kerberos clients; Generating Kerberos principals. | |
| 505 | 8 | |a Enabling Kerberos for HDFSEnabling Kerberos for MapReduce; Summary; Chapter 5: Monitoring Hadoop Cluster; Monitoring strategy overview; Hadoop Metrics; JMX Metrics; Monitoring Hadoop with Nagios; Monitoring HDFS; NameNode checks; JournalNode checks; ZooKeeper checks; Monitoring MapReduce; JobTracker checks; Monitoring Hadoop With Ganglia; Summary; Chapter 6: Deploying Hadoop to the Cloud; Amazon Elastic MapReduce; Installing the EMR command-line interface; Choosing the Hadoop version; Launching the EMR cluster; Temporary EMR clusters; Preparing input and output locations; Using Whirr. | |
| 505 | 8 | |a Installing and configuring WhirrSummary; Index. | |
| 520 | |a This book is a step-by-step tutorial filled with practical examples which will show you how to build and manage a Hadoop cluster along with its intricacies. This book is ideal for database administrators, data engineers, and system administrators, and it will act as an invaluable reference if you are planning to use the Hadoop platform in your organization. It is expected that you have basic Linux skills since all the examples in this book use this operating system. It is also useful if you have access to test hardware or virtual machines to be able to follow the examples in the book. | ||
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| contents | Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Setting Up Hadoop Cluster -- from Hardware to Distribution; Choosing Hadoop cluster hardware; Choosing the DataNode hardware; Low storage density cluster; High storage density cluster; NameNode and JobTracker hardware configuration; The NameNode hardware; The JobTracker hardware; Gateway and other auxiliary services; Network considerations; Hadoop hardware summary; Hadoop distributions; Hadoop versions; Choosing Hadoop distribution; Cloudera Hadoop distribution. Hortonworks Hadooop distributionMapR; Choosing OS for the Hadoop cluster; Summary; Chapter 2: Installing and Configuring Hadoop; Configuring OS for Hadoop cluster; Choosing and setting up the filesystem; Setting up Java Development Kit; Other OS settings; Setting up the CDH repositories; Setting up NameNode; JournalNode, ZooKeeper, and Failover Controller; Hadoop configuration files; NameNode HA configuration; JobTracker configuration; Configuring the job scheduler; DataNode configuration; TaskTracker configuration; Advanced Hadoop tuning; Summary; Chapter 3: Configuring the Hadoop Ecosystem. Hosting the Hadoop ecosystemSqoop; Installing and configuring Sqoop; Sqoop import example; Sqoop export example; Hive; Hive architecture; Installing Hive Metastore; Installing the Hive client; Installing Hive Server; Impala; Impala architecture; Installing Impala state store; Installing the Impala server; Summary; Chapter 4: Securing Hadoop Installation; Hadoop security overview; HDFS security; MapReduce security; Hadoop Service Level Authorization; Hadoop and Kerberos; Kerberos overview; Kerberos in Hadoop; Configuring Kerberos clients; Generating Kerberos principals. Enabling Kerberos for HDFSEnabling Kerberos for MapReduce; Summary; Chapter 5: Monitoring Hadoop Cluster; Monitoring strategy overview; Hadoop Metrics; JMX Metrics; Monitoring Hadoop with Nagios; Monitoring HDFS; NameNode checks; JournalNode checks; ZooKeeper checks; Monitoring MapReduce; JobTracker checks; Monitoring Hadoop With Ganglia; Summary; Chapter 6: Deploying Hadoop to the Cloud; Amazon Elastic MapReduce; Installing the EMR command-line interface; Choosing the Hadoop version; Launching the EMR cluster; Temporary EMR clusters; Preparing input and output locations; Using Whirr. Installing and configuring WhirrSummary; Index. |
| ctrlnum | (OCoLC)878117437 |
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| dewey-search | 004/.36 |
| dewey-sort | 14 236 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn878117437 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:25:55Z |
| institution | BVB |
| isbn | 9781783281725 1783281723 1306157714 9781306157711 |
| language | English |
| oclc_num | 878117437 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (109 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Packt Publishing, |
| record_format | marc |
| spelling | Zburivsky, Danil. Hadoop cluster deployment : construct a modern Hadoop data platform effortlessly and gain insights into how to manage clusters efficiently / Danil Zburivsky. Birmingham UK : Packt Publishing, 2013. 1 online resource (109 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier text file "Community experience distilled."--Cover Open source community experience distilled -- title page. Includes index. Print version record. Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Setting Up Hadoop Cluster -- from Hardware to Distribution; Choosing Hadoop cluster hardware; Choosing the DataNode hardware; Low storage density cluster; High storage density cluster; NameNode and JobTracker hardware configuration; The NameNode hardware; The JobTracker hardware; Gateway and other auxiliary services; Network considerations; Hadoop hardware summary; Hadoop distributions; Hadoop versions; Choosing Hadoop distribution; Cloudera Hadoop distribution. Hortonworks Hadooop distributionMapR; Choosing OS for the Hadoop cluster; Summary; Chapter 2: Installing and Configuring Hadoop; Configuring OS for Hadoop cluster; Choosing and setting up the filesystem; Setting up Java Development Kit; Other OS settings; Setting up the CDH repositories; Setting up NameNode; JournalNode, ZooKeeper, and Failover Controller; Hadoop configuration files; NameNode HA configuration; JobTracker configuration; Configuring the job scheduler; DataNode configuration; TaskTracker configuration; Advanced Hadoop tuning; Summary; Chapter 3: Configuring the Hadoop Ecosystem. Hosting the Hadoop ecosystemSqoop; Installing and configuring Sqoop; Sqoop import example; Sqoop export example; Hive; Hive architecture; Installing Hive Metastore; Installing the Hive client; Installing Hive Server; Impala; Impala architecture; Installing Impala state store; Installing the Impala server; Summary; Chapter 4: Securing Hadoop Installation; Hadoop security overview; HDFS security; MapReduce security; Hadoop Service Level Authorization; Hadoop and Kerberos; Kerberos overview; Kerberos in Hadoop; Configuring Kerberos clients; Generating Kerberos principals. Enabling Kerberos for HDFSEnabling Kerberos for MapReduce; Summary; Chapter 5: Monitoring Hadoop Cluster; Monitoring strategy overview; Hadoop Metrics; JMX Metrics; Monitoring Hadoop with Nagios; Monitoring HDFS; NameNode checks; JournalNode checks; ZooKeeper checks; Monitoring MapReduce; JobTracker checks; Monitoring Hadoop With Ganglia; Summary; Chapter 6: Deploying Hadoop to the Cloud; Amazon Elastic MapReduce; Installing the EMR command-line interface; Choosing the Hadoop version; Launching the EMR cluster; Temporary EMR clusters; Preparing input and output locations; Using Whirr. Installing and configuring WhirrSummary; Index. This book is a step-by-step tutorial filled with practical examples which will show you how to build and manage a Hadoop cluster along with its intricacies. This book is ideal for database administrators, data engineers, and system administrators, and it will act as an invaluable reference if you are planning to use the Hadoop platform in your organization. It is expected that you have basic Linux skills since all the examples in this book use this operating system. It is also useful if you have access to test hardware or virtual machines to be able to follow the examples in the book. Apache Hadoop. http://id.loc.gov/authorities/names/n2013024279 Apache Hadoop. blmlsh Apache Hadoop fast Electronic data processing Distributed processing. http://id.loc.gov/authorities/subjects/sh85042293 File organization (Computer science) http://id.loc.gov/authorities/subjects/sh85048195 Traitement réparti. Fichiers (Informatique) Organisation. COMPUTERS Computer Literacy. bisacsh COMPUTERS Computer Science. bisacsh COMPUTERS Data Processing. bisacsh COMPUTERS Hardware General. bisacsh COMPUTERS Information Technology. bisacsh COMPUTERS Machine Theory. bisacsh COMPUTERS Reference. bisacsh Electronic data processing Distributed processing fast File organization (Computer science) fast has work: Hadoop cluster deployment (Text) https://id.oclc.org/worldcat/entity/E39PD3bmCmkH48HbDyDyMKfyVC https://id.oclc.org/worldcat/ontology/hasWork Print version: Zburivsky, Danil. Hadoop cluster deployment 9781783281718 (OCoLC)873632493 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=672990 Volltext |
| spellingShingle | Zburivsky, Danil Hadoop cluster deployment : construct a modern Hadoop data platform effortlessly and gain insights into how to manage clusters efficiently / Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Setting Up Hadoop Cluster -- from Hardware to Distribution; Choosing Hadoop cluster hardware; Choosing the DataNode hardware; Low storage density cluster; High storage density cluster; NameNode and JobTracker hardware configuration; The NameNode hardware; The JobTracker hardware; Gateway and other auxiliary services; Network considerations; Hadoop hardware summary; Hadoop distributions; Hadoop versions; Choosing Hadoop distribution; Cloudera Hadoop distribution. Hortonworks Hadooop distributionMapR; Choosing OS for the Hadoop cluster; Summary; Chapter 2: Installing and Configuring Hadoop; Configuring OS for Hadoop cluster; Choosing and setting up the filesystem; Setting up Java Development Kit; Other OS settings; Setting up the CDH repositories; Setting up NameNode; JournalNode, ZooKeeper, and Failover Controller; Hadoop configuration files; NameNode HA configuration; JobTracker configuration; Configuring the job scheduler; DataNode configuration; TaskTracker configuration; Advanced Hadoop tuning; Summary; Chapter 3: Configuring the Hadoop Ecosystem. Hosting the Hadoop ecosystemSqoop; Installing and configuring Sqoop; Sqoop import example; Sqoop export example; Hive; Hive architecture; Installing Hive Metastore; Installing the Hive client; Installing Hive Server; Impala; Impala architecture; Installing Impala state store; Installing the Impala server; Summary; Chapter 4: Securing Hadoop Installation; Hadoop security overview; HDFS security; MapReduce security; Hadoop Service Level Authorization; Hadoop and Kerberos; Kerberos overview; Kerberos in Hadoop; Configuring Kerberos clients; Generating Kerberos principals. Enabling Kerberos for HDFSEnabling Kerberos for MapReduce; Summary; Chapter 5: Monitoring Hadoop Cluster; Monitoring strategy overview; Hadoop Metrics; JMX Metrics; Monitoring Hadoop with Nagios; Monitoring HDFS; NameNode checks; JournalNode checks; ZooKeeper checks; Monitoring MapReduce; JobTracker checks; Monitoring Hadoop With Ganglia; Summary; Chapter 6: Deploying Hadoop to the Cloud; Amazon Elastic MapReduce; Installing the EMR command-line interface; Choosing the Hadoop version; Launching the EMR cluster; Temporary EMR clusters; Preparing input and output locations; Using Whirr. Installing and configuring WhirrSummary; Index. Apache Hadoop. http://id.loc.gov/authorities/names/n2013024279 Apache Hadoop. blmlsh Apache Hadoop fast Electronic data processing Distributed processing. http://id.loc.gov/authorities/subjects/sh85042293 File organization (Computer science) http://id.loc.gov/authorities/subjects/sh85048195 Traitement réparti. Fichiers (Informatique) Organisation. COMPUTERS Computer Literacy. bisacsh COMPUTERS Computer Science. bisacsh COMPUTERS Data Processing. bisacsh COMPUTERS Hardware General. bisacsh COMPUTERS Information Technology. bisacsh COMPUTERS Machine Theory. bisacsh COMPUTERS Reference. bisacsh Electronic data processing Distributed processing fast File organization (Computer science) fast |
| subject_GND | http://id.loc.gov/authorities/names/n2013024279 http://id.loc.gov/authorities/subjects/sh85042293 http://id.loc.gov/authorities/subjects/sh85048195 |
| title | Hadoop cluster deployment : construct a modern Hadoop data platform effortlessly and gain insights into how to manage clusters efficiently / |
| title_auth | Hadoop cluster deployment : construct a modern Hadoop data platform effortlessly and gain insights into how to manage clusters efficiently / |
| title_exact_search | Hadoop cluster deployment : construct a modern Hadoop data platform effortlessly and gain insights into how to manage clusters efficiently / |
| title_full | Hadoop cluster deployment : construct a modern Hadoop data platform effortlessly and gain insights into how to manage clusters efficiently / Danil Zburivsky. |
| title_fullStr | Hadoop cluster deployment : construct a modern Hadoop data platform effortlessly and gain insights into how to manage clusters efficiently / Danil Zburivsky. |
| title_full_unstemmed | Hadoop cluster deployment : construct a modern Hadoop data platform effortlessly and gain insights into how to manage clusters efficiently / Danil Zburivsky. |
| title_short | Hadoop cluster deployment : |
| title_sort | hadoop cluster deployment construct a modern hadoop data platform effortlessly and gain insights into how to manage clusters efficiently |
| title_sub | construct a modern Hadoop data platform effortlessly and gain insights into how to manage clusters efficiently / |
| topic | Apache Hadoop. http://id.loc.gov/authorities/names/n2013024279 Apache Hadoop. blmlsh Apache Hadoop fast Electronic data processing Distributed processing. http://id.loc.gov/authorities/subjects/sh85042293 File organization (Computer science) http://id.loc.gov/authorities/subjects/sh85048195 Traitement réparti. Fichiers (Informatique) Organisation. COMPUTERS Computer Literacy. bisacsh COMPUTERS Computer Science. bisacsh COMPUTERS Data Processing. bisacsh COMPUTERS Hardware General. bisacsh COMPUTERS Information Technology. bisacsh COMPUTERS Machine Theory. bisacsh COMPUTERS Reference. bisacsh Electronic data processing Distributed processing fast File organization (Computer science) fast |
| topic_facet | Apache Hadoop. Apache Hadoop Electronic data processing Distributed processing. File organization (Computer science) Traitement réparti. Fichiers (Informatique) Organisation. COMPUTERS Computer Literacy. COMPUTERS Computer Science. COMPUTERS Data Processing. COMPUTERS Hardware General. COMPUTERS Information Technology. COMPUTERS Machine Theory. COMPUTERS Reference. Electronic data processing Distributed processing |
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| work_keys_str_mv | AT zburivskydanil hadoopclusterdeploymentconstructamodernhadoopdataplatformeffortlesslyandgaininsightsintohowtomanageclustersefficiently |