Apache Hadoop 3 Quick Start Guide: Learn about big data processing and analytics
bA fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem/b h4Key Features/h4 ulliSet up, configure and get started with Hadoop to get useful insights from large data sets /li liWork with the different components of Hadoop such as MapReduce, HDFS and YARN /li liLearn about...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
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| Ausgabe: | 1 |
| Schlagworte: | |
| Zusammenfassung: | bA fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem/b h4Key Features/h4 ulliSet up, configure and get started with Hadoop to get useful insights from large data sets /li liWork with the different components of Hadoop such as MapReduce, HDFS and YARN /li liLearn about the new features introduced in Hadoop 3 /li /ul h4Book Description/h4 Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS. The book begins with an overview of big data and Apache Hadoop. Then, you will set up a pseudo Hadoop development environment and a multi-node enterprise Hadoop cluster. You will see how the parallel programming paradigm, such as MapReduce, can solve many complex data processing problems. The book also covers the important aspects of the big data software development lifecycle, including quality assurance and control, performance, administration, and monitoring. You will then learn about the Hadoop ecosystem, and tools such as Kafka, Sqoop, Flume, Pig, Hive, and HBase. Finally, you will look at advanced topics, including real time streaming using Apache Storm, and data analytics using Apache Spark. By the end of the book, you will be well versed with different configurations of the Hadoop 3 cluster. h4What you will learn/h4 ulliStore and analyze data at scale using HDFS, MapReduce and YARN /li liInstall and configure Hadoop 3 in different modes /li liUse Yarn effectively to run different applications on Hadoop based platform /li liUnderstand and monitor how Hadoop cluster is managed /li liConsume streaming data using Storm, and then analyze it using Spark /li liExplore Apache Hadoop ecosystem components, such as Flume, Sqoop, HBase, Hive, and Kafka/li/ul h4Who this book is for/h4 Aspiring Big Data professionals who want to learn the essentials of Hadoop 3 will find this book to be useful. Existing Hadoop users who want to get up to speed with the new features introduced in Hadoop 3 will also benefit from this book. Having knowledge of Java programming will be an added advantage |
| Beschreibung: | 1 Online-Ressource (220 Seiten) |
| ISBN: | 9781788994347 |
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| 520 | |a bA fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem/b h4Key Features/h4 ulliSet up, configure and get started with Hadoop to get useful insights from large data sets /li liWork with the different components of Hadoop such as MapReduce, HDFS and YARN /li liLearn about the new features introduced in Hadoop 3 /li /ul h4Book Description/h4 Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS. The book begins with an overview of big data and Apache Hadoop. Then, you will set up a pseudo Hadoop development environment and a multi-node enterprise Hadoop cluster. You will see how the parallel programming paradigm, such as MapReduce, can solve many complex data processing problems. | ||
| 520 | |a The book also covers the important aspects of the big data software development lifecycle, including quality assurance and control, performance, administration, and monitoring. You will then learn about the Hadoop ecosystem, and tools such as Kafka, Sqoop, Flume, Pig, Hive, and HBase. Finally, you will look at advanced topics, including real time streaming using Apache Storm, and data analytics using Apache Spark. By the end of the book, you will be well versed with different configurations of the Hadoop 3 cluster. | ||
| 520 | |a h4What you will learn/h4 ulliStore and analyze data at scale using HDFS, MapReduce and YARN /li liInstall and configure Hadoop 3 in different modes /li liUse Yarn effectively to run different applications on Hadoop based platform /li liUnderstand and monitor how Hadoop cluster is managed /li liConsume streaming data using Storm, and then analyze it using Spark /li liExplore Apache Hadoop ecosystem components, such as Flume, Sqoop, HBase, Hive, and Kafka/li/ul h4Who this book is for/h4 Aspiring Big Data professionals who want to learn the essentials of Hadoop 3 will find this book to be useful. Existing Hadoop users who want to get up to speed with the new features introduced in Hadoop 3 will also benefit from this book. Having knowledge of Java programming will be an added advantage | ||
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| isbn | 9781788994347 |
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| spelling | Vijay Karambelkar, Hrishikesh Verfasser aut Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics Vijay Karambelkar, Hrishikesh 1 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (220 Seiten) txt rdacontent c rdamedia cr rdacarrier bA fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystem/b h4Key Features/h4 ulliSet up, configure and get started with Hadoop to get useful insights from large data sets /li liWork with the different components of Hadoop such as MapReduce, HDFS and YARN /li liLearn about the new features introduced in Hadoop 3 /li /ul h4Book Description/h4 Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS. The book begins with an overview of big data and Apache Hadoop. Then, you will set up a pseudo Hadoop development environment and a multi-node enterprise Hadoop cluster. You will see how the parallel programming paradigm, such as MapReduce, can solve many complex data processing problems. The book also covers the important aspects of the big data software development lifecycle, including quality assurance and control, performance, administration, and monitoring. You will then learn about the Hadoop ecosystem, and tools such as Kafka, Sqoop, Flume, Pig, Hive, and HBase. Finally, you will look at advanced topics, including real time streaming using Apache Storm, and data analytics using Apache Spark. By the end of the book, you will be well versed with different configurations of the Hadoop 3 cluster. h4What you will learn/h4 ulliStore and analyze data at scale using HDFS, MapReduce and YARN /li liInstall and configure Hadoop 3 in different modes /li liUse Yarn effectively to run different applications on Hadoop based platform /li liUnderstand and monitor how Hadoop cluster is managed /li liConsume streaming data using Storm, and then analyze it using Spark /li liExplore Apache Hadoop ecosystem components, such as Flume, Sqoop, HBase, Hive, and Kafka/li/ul h4Who this book is for/h4 Aspiring Big Data professionals who want to learn the essentials of Hadoop 3 will find this book to be useful. Existing Hadoop users who want to get up to speed with the new features introduced in Hadoop 3 will also benefit from this book. Having knowledge of Java programming will be an added advantage COMPUTERS / Databases / Data Warehousing COMPUTERS / Data Modeling & Design |
| spellingShingle | Vijay Karambelkar, Hrishikesh Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics COMPUTERS / Databases / Data Warehousing COMPUTERS / Data Modeling & Design |
| title | Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics |
| title_auth | Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics |
| title_exact_search | Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics |
| title_exact_search_txtP | Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics |
| title_full | Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics Vijay Karambelkar, Hrishikesh |
| title_fullStr | Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics Vijay Karambelkar, Hrishikesh |
| title_full_unstemmed | Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics Vijay Karambelkar, Hrishikesh |
| title_short | Apache Hadoop 3 Quick Start Guide |
| title_sort | apache hadoop 3 quick start guide learn about big data processing and analytics |
| title_sub | Learn about big data processing and analytics |
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