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eBook for Cloud Computing & Big Data: From the Basics to Practical Use Cases

Author(s): M Sudheep Elayidom | Sarith Divakar M | Lija Mohan | Tanmay Kumar Pandey, and Shubham Agrawal

ISBN: 9789360532673

1st Edition

₹390

Binding: eBook

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In today’s rapidly evolving technological landscape, cloud computing stands tall as a transformative force, reshaping our perceptions, management strategies, and deployment practices of computing resources. Within this dynamic realm, this book finds its raison d’être, aiming to offer comprehensive insights into the fundamental principles, technologies, and applications of cloud computing. Each chapter of this meticulously crafted tome is tailored to furnish indispensable knowledge and practical skills essential for navigating the intricate domain of cloud computing. From unravelling network-based technologies to delving into virtualization concepts, from dissecting cloud security requisites to elucidating the intricacies of big data analytics, every section is thoroughly designed to serve as a stepping stone in your quest for cloud computing mastery.

Intuitive approach to elevate your cloud computing proficiency effortlessly, transitioning you from a novice user to a seasoned professional with minimal time, effort, and cost.
Explore the entire spectrum of cloud computing, from basics to advanced research trends and application development, complete with case studies and source codes for practical understanding.
As a stepping stone into the world of cloud computing, tailored for graduate-level students, it provides essential knowledge aligned with the latest syllabus requirements.
Covering both cloud architecture and programming using big data technologies like MapReduce and Spark, it fills a crucial gap in the existing literature, offering a complete learning experience.
Caters to a diverse audience, whether you're a novice learner or an advanced researcher, spanning UG course topics to advanced research areas, ensuring relevance and applicability for all.

Cengage Digital App includes: Solutions manual, additional readings, and videos.

1. Cloud Computing

2. Virtualization

3 Architectural Design of Compute and Storage Clouds

4. Secure Distributed Data Storage in Cloud—Methods and Practices

5. Emerging Cloud Software Environments

6. Popular Cloud Databases

7. Big Data Analytics in Cloud

8. Parallel and Distributed Programming Models

9. Implementation and Testing of MapReduce Programming Model in Cloud

10. Apache Spark—A Framework for Big Data

11. Use Cases: Hadoop, R, and Social Network Analysis

12. Cloud Computing Governance and Compliance

Glossary

M. Sudheep Elayidom, PhD, is Professor in Division of Computer Engineering, School of Engineering, Cochin University, Kerala. He has teaching experience of more than 25 years and research experience of more than 10 years.

Sarith Divakar M., PhD, is Assistant Professor in the Department of Computer Science and Engineering at LBS College of Engineering, Kerala.

Lija Mohan, PhD, is a highly qualified and accomplished Security Domain Expert with more than 8 years of industry experience, based in Ernakulam, employed at Prevalent AI, where she leads their flagship Entity Inventory product.

Tanmay Kumar Pandey, M.Tech., is Solutions Architect at DuploCloud, a trailblazer in DevSecOps and CloudSecOps solutions.

Shubham Agrawal, M.S., is a highly accomplished Software Development and Distributed Systems Expert at Amazon, USA, possessing more than 7 years of industry experience.