Big Data and Analytics: The key concepts and practical applications of big data analytics (English Edition)
by: Dr. Jugnesh Kumar (Author),Dr. Anubhav Kumar(Author),Dr. Rinku Kumar(Author)&0more
Publication Date: 5 Mar. 2024
Language: English
Print Length: 232 pages
ISBN-10: 9355516177
ISBN-13: 9789355516176
Book Description
Unveiling insights, unleashing potential: Navigating the depths of big data and analytics for a data-driven tomorrowKey Features● Lea about big data and how it helps businesses innovate, grow, and make decisions efficiently.● Lea 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. Lea 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 lea● 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.Table of Contents1. Introduction to Big Data2. Big Data Analytics3. Introduction of NoSQL4. Introduction to Hadoop5. Map Reduce6. Introduction to MongoDB
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