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ksiazka tytuł: Big Data and Analytics autor: Kumar Dr. Jugnesh
DOSTAWA WYŁĄCZNIE NA TERYTORIUM POLSKI

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Big Data and Analytics

The key concepts and practical applications of big data analytics (English Edition)
Wersja papierowa
Wydawnictwo: BPB Publications
ISBN: 978-93-555-1617-6
Format: 15.2x22.9cm
Liczba stron: 234
Oprawa: Miękka
Wydanie: 2024 r.
Język: angielski

Dostępność: dostępny
195,00 zł

<p><strong style="color: rgba(34, 34, 34, 1)">Unveiling insights, unleashing potential: Navigating the depths of big data and analytics for a data-driven tomorrow</strong></p><p><br></p><p><strong style="background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)">KEY FEATURES&nbsp;&nbsp;</strong></p><p><span style="background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)">● </span><span style="background-color: rgba(0, 0, 0, 0); color: rgba(34, 34, 34, 1)">Learn about big data and how it helps businesses innovate, grow, and make decisions efficiently.</span></p><p><span style="background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)">● </span><span style="background-color: rgba(0, 0, 0, 0); color: rgba(34, 34, 34, 1)">Learn about data collection, storage, processing, and analysis, along with tools and methods.</span></p><p><span style="background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)">● </span><span style="background-color: rgba(0, 0, 0, 0); color: rgba(15, 17, 17, 1)">Discover real-life examples of big data applications across industries, addressing challenges like privacy and security.</span></p><p><br></p><p><strong style="color: rgba(0, 0, 0, 1); background-color: rgba(0, 0, 0, 0)"><span></span>DESCRIPTION&nbsp;</strong></p><p><span style="background-color: rgba(0, 0, 0, 0); color: rgba(34, 34, 34, 1)">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.</span></p><p><br></p><p><span style="background-color: rgba(0, 0, 0, 0); color: rgba(34, 34, 34, 1)">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.</span></p><p><br></p><p><strong style="background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)">WHAT YOU WILL LEARN</strong></p><p><span style="background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)">● </span><span style="background-color: rgba(0, 0, 0, 0); color: rgba(34, 34, 34, 1)">Grasp big data fundamentals and applications.</span></p><p><span style="background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)">● </span><span style="background-color: rgba(0, 0, 0, 0); color: rgba(34, 34, 34, 1)">Master descriptive, predictive, and prescriptive analytics.</span></p><p><span style="background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)">● </span><span style="background-color: rgba(0, 0, 0, 0); color: rgba(34, 34, 34, 1)">Understand HDFS, MapReduce, YARN, and their functionalities.</span></p><p><span style="background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)">● </span><span style="background-color: rgba(0, 0, 0, 0); color: rgba(34, 34, 34, 1)">Explore data storage, retrieval, and manipulation in a NoSQL database.</span></p><p><span style="background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)">● </span><span style="background-color: rgba(0, 0, 0, 0); color: rgba(34, 34, 34, 1)">Gain practical insights and apply them to real-world scenarios.</span></p><p><br></p><p><strong style="background-color: rgba(0, 0, 0, 0); color: rgba(0, 0, 0, 1)">WHO THIS BOOK IS FOR</strong></p><p><span style="background-color: rgba(0, 0, 0, 0); color: rgba(34, 34, 34, 1)">This book caters to a diverse audience, including data professionals, analysts, IT managers, and business intelligence practitioners.</span></p><p><br></p><p><br></p><p><br></p><p><br></p>

 

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