Big data : a tutorial-based approach / Nasir Raheem.
"This book explores the tools and techniques to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Processing by implementing (i) Tools and Techniques of Hadoop Eco System, (ii) Hadoop Distributed File System Infrastructure, and...
Saved in:
| Online Access: |
Full Text (via ProQuest) |
|---|---|
| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton :
CRC Press,
[2019]
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| Edition: | First edition. |
| Series: | CRC focus series.
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| Subjects: |
MARC
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| 250 | |a First edition. | ||
| 264 | 1 | |a Boca Raton : |b CRC Press, |c [2019] | |
| 264 | 4 | |c ©2019. | |
| 300 | |a 1 online resource (xxv, 175 pages) : |b illustrations. | ||
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| 545 | 0 | |a Nasir Raheem is an accomplished, innovative, and results-driven project manager, architect and business analyst with over 20 years of wide-ranging experience encompassing I.T Infra-structure design, planning and implementation of highly integrated systems that included Big Data (HIVE) Database Administration, Business Re-engineering, Asset & Data management (ServiceNow), Data Integration, Data Modeling, Disaster Recovery and ERP Database /Application cloning projects. He is an experienced manager of IT projects related to multi-billion dollar corporate mergers, migration, server upgrades, database upgrades, data conversion, cloning and integration of supply chain management ERP and CRM application modules at Wells Fargo Bank, WebTV (now Microsoft) and Hitachi Global Storage Technologies (now Western Digital). He is also a published author and instructor of an online course approved by Harvard University Innovation Lab, 'March towards Big Data.' | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Introduction to big data -- Big data implementation -- Big data use cases -- Big data migration -- Big data ingestion, integration, and management -- Big data repository -- Big data visualization -- Structured and un-structured data analytics -- Data virtualization -- Cloud computing. | |
| 520 | |a "This book explores the tools and techniques to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Processing by implementing (i) Tools and Techniques of Hadoop Eco System, (ii) Hadoop Distributed File System Infrastructure, and (iii) efficient MapReduce processing. The book includes Use Cases and Tutorials to provide an integrated approach that answers the 'What', 'How', and 'Why' of Big Data"-- |c Provided by publisher. | ||
| 588 | |a Description based on print version record. | ||
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