Big Data

Rezensionen / Stimmen

[Big Data: A Tutorial-Based Approach] is a well thought-out guide, comprising of tutorials and graphic illustrations, that builds an integrated approach which clearly answers the 'What' and the 'How' and the 'Why' of 'Big Data'. It takes the readers on an inquisitive journey through the information wonderland of data lakes and provides the tools and techniques to bring about the marriage of structured and unstructured data.

It is a must-read primer that keeps its eyes always set on the end goal of extracting useful business insight from 'Big Data' by fully exploiting the potential of Hadoop Distributed File System Infrastructure, MapReduce processing, and Agile Data Analytics to implement proper Data Migration, Data Ingestion, Data Management, Data Analytics, Data Visualization and Data Virtualization processes.

Last but not the least, this book finally tests the readers on their understanding of 'Big Data' in the form of a QUIZ.

-Dr. Sohail Subhani, Winona State University

This is a strong text that provides substantial direction and detail about elemental data science concepts. A key strength of this book is its focus on data processing and handling techniques, an area of data science that is often overlooked. Raheem brings significant experience and subject matter expertise to this practical text. The book's tutorial approach allows the reader to gain practical experience in the areas discussed. Systems and programs covered include Hadoop, MapReduce, Hive, Yarn, Sqoop, and Tableau. The text also includes use cases that apply concepts presented in realworld scenarios. The text's regular self-assessment quizzes, with answers provided, allow users to evaluate their progress. Big Data is recommended for higher-level computer science students studying big data. The structure and breadth of topics covered make it a useful textbook for a 500-level computer science course in big data, though it would also be valuable as a reference or for self-study.

--K. J. Whitehair, independent scholar

Summing Up: Recommended. Advanced undergraduates through faculty and professionals. [Big Data: A Tutorial-Based Approach] is a well thought-out guide, comprising of tutorials and graphic illustrations, that builds an integrated approach which clearly answers the 'What' and the 'How' and the 'Why' of 'Big Data'. It takes the readers on an inquisitive journey through the information wonderland of data lakes and provides the tools and techniques to bring about the marriage of structured and unstructured data.

It is a must-read primer that keeps its eyes always set on the end goal of extracting useful business insight from 'Big Data' by fully exploiting the potential of Hadoop Distributed File System Infrastructure, MapReduce processing, and Agile Data Analytics to implement proper Data Migration, Data Ingestion, Data Management, Data Analytics, Data Visualization and Data Virtualization processes.

Last but not the least, this book finally tests the readers on their understanding of 'Big Data' in the form of a QUIZ.

-Dr. Sohail Subhani, Winona State University