Big Data Using Hadoop and Hive
This book is the basic guide for developers, architects, engineers, and anyone who wants to start leveraging the open-source software Hadoop and Hive to build distributed, scalable concurrent big data applications. Hive will be used for reading, writing, and managing the large, data set files. The b...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Herndon
Mercury Learning and Information
[2021]
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| Online-Zugang: | DE-1046 DE-1043 DE-858 DE-Aug4 DE-859 DE-860 DE-739 URL des Erstveröffentlichers |
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Datensatz im Suchindex
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| author | Kumar, Nitin |
| author_facet | Kumar, Nitin |
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| dewey-full | 006.3/12 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/12 |
| dewey-search | 006.3/12 |
| dewey-sort | 16.3 212 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1515/9781683926443 |
| format | Electronic eBook |
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| isbn | 9781683926443 |
| language | English |
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| physical | 1 Online-Ressource (192 Seiten) |
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| spelling | Kumar, Nitin Verfasser aut Big Data Using Hadoop and Hive Nitin Kumar Herndon Mercury Learning and Information [2021] © 2021 1 Online-Ressource (192 Seiten) txt rdacontent c rdamedia cr rdacarrier Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) This book is the basic guide for developers, architects, engineers, and anyone who wants to start leveraging the open-source software Hadoop and Hive to build distributed, scalable concurrent big data applications. Hive will be used for reading, writing, and managing the large, data set files. The book is a concise guide on getting started with an overall understanding on Apache Hadoop and Hive and how they work together to speed up development with minimal effort. It will refer to simple concepts and examples, as they are likely to be the best teaching aids. It will explain the logic, code, and configurations needed to build a successful, distributed, concurrent application, as well as the reason behind those decisions. FEATURES:Shows how to leverage the open-source software Hadoop and Hive to build distributed, scalable, concurrent big data applications Includes material on Hive architecture with various storage types and the Hive query language Features a chapter on big data and how Hadoop can be used to solve the changes around itExplains the basic Hadoop setup, configuration, and optimization In English Data COMPUTERS / Desktop Applications / Databases bisacsh Big data Erscheint auch als Druck-Ausgabe 9781683926450 https://doi.org/10.1515/9781683926443?locatt=mode:legacy Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Kumar, Nitin Big Data Using Hadoop and Hive Data COMPUTERS / Desktop Applications / Databases bisacsh Big data |
| title | Big Data Using Hadoop and Hive |
| title_auth | Big Data Using Hadoop and Hive |
| title_exact_search | Big Data Using Hadoop and Hive |
| title_full | Big Data Using Hadoop and Hive Nitin Kumar |
| title_fullStr | Big Data Using Hadoop and Hive Nitin Kumar |
| title_full_unstemmed | Big Data Using Hadoop and Hive Nitin Kumar |
| title_short | Big Data Using Hadoop and Hive |
| title_sort | big data using hadoop and hive |
| topic | Data COMPUTERS / Desktop Applications / Databases bisacsh Big data |
| topic_facet | Data COMPUTERS / Desktop Applications / Databases Big data |
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