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9789355516176 - Big Data and Analytics: the Key Concepts and Practical Applications of Big Data Analytics English Edition by Kumar, Dr Jugnesh; Kumar, Dr Anubhav; Kumar, Dr Rinku (17 results)
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Big Data and Analytics
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Big Data and Analytics : The Key Concepts and Practical Applications of Big Data Analytics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 9.53
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Add to basketSoft cover. Condition: New. Big data and analytics is an indispensable guide that navigates the complex data management and analysis. This comprehensive book covers the core principles, processes, and tools, ensuring readers grasp the essentials and progress to advanced applications. It will help you understand the different analysis types like descriptive, predictive, and prescriptive. Learn about NoSQL databases and their benefits over SQL. The book centers on Hadoop, explaining its features, versions, and main components like HDFS (storage) and MapReduce (processing). Explore MapReduce and YARN for efficient data processing. Gain insights into MongoDB and Hive, popular tools in the big data landscape.
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Big Data and Analytics: The key concepts and practical applications of big data analytics (English Edition)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Big Data and Analytics : The Key Concepts and Practical Applications of Big Data Analytics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Big Data and Analytics
Published by BPB Publications, IN, 2024
ISBN 10: 9355516177 ISBN 13: 9789355516176
Language: English
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Big Data And Analytics: The Key Concepts
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Big Data and Analytics: The Key Concepts and Practical Applications of Big Data Analytics (Paperback or Softback)
Published by Bpb Publications 4/6/2024, 2024
ISBN 10: 9355516177 ISBN 13: 9789355516176
Language: English
£ 33.66
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Add to basketPaperback or Softback. Condition: New. Big Data and Analytics: The Key Concepts and Practical Applications of Big Data Analytics 0.7. Book.
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Big Data and Analytics
Published by BPB Publications, IN, 2024
ISBN 10: 9355516177 ISBN 13: 9789355516176
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Paperback. Condition: Brand New. 232 pages. 9.00x6.00x0.53 inches. In Stock. This item is printed on demand.
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£ 32.52
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Unveiling insights, unleashing potential: Navigating the depths of big data and analytics for a data-driven tomorrowKEY FEATURES¿ Learn about big data and how it helps businesses innovate, grow, and make decisions efficiently.¿ Learn about data collection, storage, processing, and analysis, along with tools and methods.¿ Discover real-life examples of big data applications across industries, addressing challenges like privacy and security.¿¿DESCRIPTIONBig data and analytics is an indispensable guide that navigates the complex data management and analysis. This comprehensive book covers the core principles, processes, and tools, ensuring readers grasp the essentials and progress to advanced applications.It will help you understand the different analysis types like descriptive, predictive, and prescriptive. Learn about NoSQL databases and their benefits over SQL. The book centers on Hadoop, explaining its features, versions, and main components like HDFS (storage) and MapReduce (processing). Explore MapReduce and YARN for efficient data processing. Gain insights into MongoDB and Hive, popular tools in the big data landscape.WHAT YOU WILL LEARN¿ Grasp big data fundamentals and applications.¿ Master descriptive, predictive, and prescriptive analytics.¿ Understand HDFS, MapReduce, YARN, and their functionalities.¿ Explore data storage, retrieval, and manipulation in a NoSQL database.¿ Gain practical insights and apply them to real-world scenarios.WHO THIS BOOK IS FORThis book caters to a diverse audience, including data professionals, analysts, IT managers, and business intelligence practitioners.
