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This book gives the introduction to big data and also gives an overview of biddata analytics with its classification and challenges. The era of Big Data has arrived, and it is rapidly transforming the way we think about and use data. With the exponential growth of digital data, from social media to machinegenerated data, there is a pressing need to develop new methods and tools to analyze, interpret, and extract insights from these massive datasets. Big Data analytics has emerged as a powerful and essential tool to address this need, providing organizations with the ability to make data-driven decisions andgain a competitive advantage.This book is designed to provide a comprehensive overview of Big Dataanalytics, including the latest tools, techniques, and best practices for analyzingand interpreting large datasets. It is intended for a wide audience, including data scientists, business analysts, IT professionals, and executives who are looking to harness the power of Big Data to drive business value.The book begins with an introduction to Big Data and its various characteristics, followed by an overview of the key technologies and platforms used for BigData analytics. It then delves into the various data analysis techniques andmethodologies, including machine learning, data mining, and predictiveanalytics. The book also covers the various applications of Big Data analytics, including marketing, healthcare, finance, and cybersecurity.Throughout the book, we emphasize the importance of data quality, privacy,and security, and provide guidance on how to ensure that Big Data analytics is conducted in an ethical and responsible manner.We hope that this book will serve as a valuable resource for anyone looking to gain a deeper understanding of Big Data analytics and its potential to transform organizations and industries.