Learning Big Data with Amazon Elastic MapReduce:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Packt Publishing
2014
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| Schlagworte: | |
| Beschreibung: | Print version record |
| Beschreibung: | 1 online resource |
| ISBN: | 1322242186 9781322242187 9781782173441 1782173447 9781782173434 1782173439 |
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| 505 | 8 | |a Amazon Elastic MapReduce is a web service used to process and store vast amount of data, and it is one of the largest Hadoop operators in the world. With the increase in the amount of data generated and collected by many businesses and the arrival of cost-effective cloud-based solutions for distributed computing, the feasibility to crunch large amounts of data to get deep insights within a short span of time has increased greatly. This book will get you started with AWS so that you can quickly create your own account and explore the services provided, many of which you might be delighted to use. This book covers the architectural details of the MapReduce framework, Apache Hadoop, various job models on EMR, how to manage clusters on EMR, and the command-line tools available with EMR. Each chapter builds on the knowledge of the previous one, leading to the final chapter where you will learn about solving a real-world use case using Apache Hadoop and EMR. This book will, therefore, get you up and running with major Big Data technologies quickly and efficiently | |
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Datensatz im Suchindex
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| author | Singh, Amarkant |
| author_facet | Singh, Amarkant |
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| contents | Amazon Elastic MapReduce is a web service used to process and store vast amount of data, and it is one of the largest Hadoop operators in the world. With the increase in the amount of data generated and collected by many businesses and the arrival of cost-effective cloud-based solutions for distributed computing, the feasibility to crunch large amounts of data to get deep insights within a short span of time has increased greatly. This book will get you started with AWS so that you can quickly create your own account and explore the services provided, many of which you might be delighted to use. This book covers the architectural details of the MapReduce framework, Apache Hadoop, various job models on EMR, how to manage clusters on EMR, and the command-line tools available with EMR. Each chapter builds on the knowledge of the previous one, leading to the final chapter where you will learn about solving a real-world use case using Apache Hadoop and EMR. This book will, therefore, get you up and running with major Big Data technologies quickly and efficiently |
| ctrlnum | (ZDB-4-ITC)ocn894628948 (OCoLC)894628948 (DE-599)BVBBV045350961 |
| dewey-full | 004.109236 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004.109236 |
| dewey-search | 004.109236 |
| dewey-sort | 14.109236 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV045350961 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:15:42Z |
| institution | BVB |
| isbn | 1322242186 9781322242187 9781782173441 1782173447 9781782173434 1782173439 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030737615 |
| oclc_num | 894628948 |
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| physical | 1 online resource |
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| publishDate | 2014 |
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| publisher | Packt Publishing |
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| spelling | Singh, Amarkant Verfasser aut Learning Big Data with Amazon Elastic MapReduce Packt Publishing 2014 1 online resource txt rdacontent c rdamedia cr rdacarrier Print version record Amazon Elastic MapReduce is a web service used to process and store vast amount of data, and it is one of the largest Hadoop operators in the world. With the increase in the amount of data generated and collected by many businesses and the arrival of cost-effective cloud-based solutions for distributed computing, the feasibility to crunch large amounts of data to get deep insights within a short span of time has increased greatly. This book will get you started with AWS so that you can quickly create your own account and explore the services provided, many of which you might be delighted to use. This book covers the architectural details of the MapReduce framework, Apache Hadoop, various job models on EMR, how to manage clusters on EMR, and the command-line tools available with EMR. Each chapter builds on the knowledge of the previous one, leading to the final chapter where you will learn about solving a real-world use case using Apache Hadoop and EMR. This book will, therefore, get you up and running with major Big Data technologies quickly and efficiently MapReduce (Computer file) MapReduce (Computer file) fast 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 Big data fast Big data Erscheint auch als Druck-Ausgabe Druck-Ausgabe Singh, Amarkant. Learning Big Data with Amazon Elastic MapReduce |
| spellingShingle | Singh, Amarkant Learning Big Data with Amazon Elastic MapReduce Amazon Elastic MapReduce is a web service used to process and store vast amount of data, and it is one of the largest Hadoop operators in the world. With the increase in the amount of data generated and collected by many businesses and the arrival of cost-effective cloud-based solutions for distributed computing, the feasibility to crunch large amounts of data to get deep insights within a short span of time has increased greatly. This book will get you started with AWS so that you can quickly create your own account and explore the services provided, many of which you might be delighted to use. This book covers the architectural details of the MapReduce framework, Apache Hadoop, various job models on EMR, how to manage clusters on EMR, and the command-line tools available with EMR. Each chapter builds on the knowledge of the previous one, leading to the final chapter where you will learn about solving a real-world use case using Apache Hadoop and EMR. This book will, therefore, get you up and running with major Big Data technologies quickly and efficiently MapReduce (Computer file) MapReduce (Computer file) fast 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 Big data fast Big data |
| title | Learning Big Data with Amazon Elastic MapReduce |
| title_auth | Learning Big Data with Amazon Elastic MapReduce |
| title_exact_search | Learning Big Data with Amazon Elastic MapReduce |
| title_full | Learning Big Data with Amazon Elastic MapReduce |
| title_fullStr | Learning Big Data with Amazon Elastic MapReduce |
| title_full_unstemmed | Learning Big Data with Amazon Elastic MapReduce |
| title_short | Learning Big Data with Amazon Elastic MapReduce |
| title_sort | learning big data with amazon elastic mapreduce |
| topic | MapReduce (Computer file) MapReduce (Computer file) fast 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 Big data fast Big data |
| topic_facet | MapReduce (Computer file) COMPUTERS / Computer Literacy COMPUTERS / Computer Science COMPUTERS / Data Processing COMPUTERS / Hardware / General COMPUTERS / Information Technology COMPUTERS / Machine Theory COMPUTERS / Reference Big data |
| work_keys_str_mv | AT singhamarkant learningbigdatawithamazonelasticmapreduce |