Big Data and Analytics: The Key Concepts and Practical Applications of Big Data Analytics - E-book - ePub

Edition en anglais

Dr. Jugnesh Kumar

,

Dr. Anubhav Kumar

,

Dr. Rinku Kumar

Note moyenne 
 Dr. Jugnesh Kumar et  Dr. Anubhav Kumar - Big Data and Analytics: The Key Concepts and Practical Applications of Big Data Analytics.
Unveiling insights, unleashing potential: Navigating the depths of big data and analytics for a data-driven tomorrow KEY FEATURES  ? Learn about big... Lire la suite
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Résumé

Unveiling insights, unleashing potential: Navigating the depths of big data and analytics for a data-driven tomorrow KEY 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. DESCRIPTION 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. 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.  

Caractéristiques

  • Date de parution
    05/03/2024
  • Editeur
  • ISBN
    978-93-5551-705-0
  • EAN
    9789355517050
  • Format
    ePub
  • Caractéristiques du format ePub
    • Protection num.
      Contenu protégé

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