Big Data Using Hadoop and Hive / / Nitin Kumar.
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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Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2021] ©2021 |
Year of Publication: | 2021 |
Language: | English |
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Physical Description: | 1 online resource (192 p.) |
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Kumar, Nitin, author. aut http://id.loc.gov/vocabulary/relators/aut Big Data Using Hadoop and Hive / Nitin Kumar. Dulles, VA : Mercury Learning and Information, [2021] ©2021 1 online resource (192 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Frontmatter -- CONTENTS -- Preface -- Chapter 1: Big Data -- Chapter 2: What is Apache Hadoop? -- Chapter 3: The Hadoop Distribution Filesystem -- Chapter 4: Getting Started with Hadoop -- Chapter 5: Interfaces to Access HDFS Files -- Chapter 6: Yet Another Resource Negotiator -- Chapter 7: MapReduce -- Chapter 8: Hive -- Chapter 9: Getting Started with Hive -- Chapter 10: File Format -- Chapter 11: Data Compression -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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 it Explains the basic Hadoop setup, configuration, and optimization Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 02. Jun 2024) Big data. Data. COMPUTERS / Desktop Applications / Databases. bisacsh Big Data. Distributed Apps. Open Source. Title is part of eBook package: De Gruyter MLI AI COLLECTION 9783111573533 Title is part of eBook package: De Gruyter Sciendo All Ebooks Trial Collection 2024 9783111502496 EPUB 9781683926436 print 9781683926450 https://doi.org/10.1515/9781683926443 https://www.degruyter.com/isbn/9781683926443 Cover https://www.degruyter.com/document/cover/isbn/9781683926443/original |
language |
English |
format |
eBook |
author |
Kumar, Nitin, Kumar, Nitin, |
spellingShingle |
Kumar, Nitin, Kumar, Nitin, Big Data Using Hadoop and Hive / Frontmatter -- CONTENTS -- Preface -- Chapter 1: Big Data -- Chapter 2: What is Apache Hadoop? -- Chapter 3: The Hadoop Distribution Filesystem -- Chapter 4: Getting Started with Hadoop -- Chapter 5: Interfaces to Access HDFS Files -- Chapter 6: Yet Another Resource Negotiator -- Chapter 7: MapReduce -- Chapter 8: Hive -- Chapter 9: Getting Started with Hive -- Chapter 10: File Format -- Chapter 11: Data Compression -- Index |
author_facet |
Kumar, Nitin, Kumar, Nitin, |
author_variant |
n k nk n k nk |
author_role |
VerfasserIn VerfasserIn |
author_sort |
Kumar, Nitin, |
title |
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_auth |
Big Data Using Hadoop and Hive / |
title_alt |
Frontmatter -- CONTENTS -- Preface -- Chapter 1: Big Data -- Chapter 2: What is Apache Hadoop? -- Chapter 3: The Hadoop Distribution Filesystem -- Chapter 4: Getting Started with Hadoop -- Chapter 5: Interfaces to Access HDFS Files -- Chapter 6: Yet Another Resource Negotiator -- Chapter 7: MapReduce -- Chapter 8: Hive -- Chapter 9: Getting Started with Hive -- Chapter 10: File Format -- Chapter 11: Data Compression -- Index |
title_new |
Big Data Using Hadoop and Hive / |
title_sort |
big data using hadoop and hive / |
publisher |
Mercury Learning and Information, |
publishDate |
2021 |
physical |
1 online resource (192 p.) Issued also in print. |
contents |
Frontmatter -- CONTENTS -- Preface -- Chapter 1: Big Data -- Chapter 2: What is Apache Hadoop? -- Chapter 3: The Hadoop Distribution Filesystem -- Chapter 4: Getting Started with Hadoop -- Chapter 5: Interfaces to Access HDFS Files -- Chapter 6: Yet Another Resource Negotiator -- Chapter 7: MapReduce -- Chapter 8: Hive -- Chapter 9: Getting Started with Hive -- Chapter 10: File Format -- Chapter 11: Data Compression -- Index |
isbn |
9781683926443 9783111573533 9783111502496 9781683926436 9781683926450 |
callnumber-first |
Q - Science |
callnumber-subject |
QA - Mathematics |
callnumber-label |
QA76 |
callnumber-sort |
QA 276.9 B45 K86 42021 |
url |
https://doi.org/10.1515/9781683926443 https://www.degruyter.com/isbn/9781683926443 https://www.degruyter.com/document/cover/isbn/9781683926443/original |
illustrated |
Not Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
006 - Special computer methods |
dewey-full |
006.3/12 |
dewey-sort |
16.3 212 |
dewey-raw |
006.3/12 |
dewey-search |
006.3/12 |
doi_str_mv |
10.1515/9781683926443 |
oclc_num |
1394872669 |
work_keys_str_mv |
AT kumarnitin bigdatausinghadoopandhive |
status_str |
n |
ids_txt_mv |
(DE-B1597)653571 (OCoLC)1394872669 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Title is part of eBook package: De Gruyter MLI AI COLLECTION Title is part of eBook package: De Gruyter Sciendo All Ebooks Trial Collection 2024 |
is_hierarchy_title |
Big Data Using Hadoop and Hive / |
container_title |
Title is part of eBook package: De Gruyter MLI AI COLLECTION |
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1806144019225378816 |
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