Jawwad AhmedShamsi,Muhammad AliKhojaye
Big Data Systems: A 360-degree Approach
Big Data Systems: A 360-degree Approach
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Excellent- More about Big Data Systems: A 360-degree Approach
Big Data Systems are complex systems that require a lot of storage, computational power, and diversity in data. This book covers various topics such as Networking, Security, Privacy, Storage, Computation, Cloud Computing, NoSQL and NewSQL systems, High Performance Computing, and Deep Learning, with an illustrative and practical approach. It also includes programming examples for hands-on development and discussion on case studies and open issues.
Format: Paperback / softback
Length: 340 pages
Publication date: 24 July 2023
Publisher: Taylor & Francis Ltd
Big Data Systems present formidable challenges in terms of data diversity, storage mechanisms, and the immense computational power required. Moreover, the capabilities of big data systems vary depending on the type of problems they are designed to address. For instance, distributed memory systems are not suitable for iterative algorithms. Similarly, variations in big data systems exist regarding consistency and fault tolerance.
The primary objective of this book is to offer a comprehensive and detailed explanation of big data systems. It encompasses a wide range of topics, including Networking, Security, Privacy, Storage, Computation, Cloud Computing, NoSQL and NewSQL systems, High Performance Computing, and Deep Learning. A practical and illustrative approach has been adopted, with theoretical concepts supported by clear programming and illustrative examples.
Key Features:
Introduces the concepts and evolution of Big Data technology.
Illustrates examples to facilitate a thorough understanding.
Provides programming examples for hands-on development.
Explores various topics such as NoSQL Systems, NewSQL systems, Security, Privacy, Networking, Cloud, High Performance Computing, and Deep Learning.
Exemplifies widely used big data technologies like Hadoop and Spark.
Includes discussions on case studies and open issues.
Provides end-of-chapter questions to enhance learning.
Weight: 654g
Dimension: 177 x 255 x 21 (mm)
ISBN-13: 9780367755232
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