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About Cloud Computing and Big Data Technology, 2E
This book comprehensively introduces the basic knowledge and main technologies of Cloud Computing and Big Data. It covers Cloud Computing, Big Data technology, virtualization technology, data centers, parallel computing and clustering technology, cloud storage technology, OpenStack, Hadoop, Spark, Storm, and cloud computing simulation. Compared to the first edition, this revision features significant additions, deletions, and structural adjustments. For instance, content on data center deployment and site selection has been streamlined to enhance conciseness. A new Chapter 7 has been added, focusing on Docker container technology and the container orchestration platform Kubernetes, both widely adopted in enterprise IT today. Chapters 8-10 reorganize the introduction to Big Data frameworks, starting with batch processing to guide readers into the world of Big Data processing. Technical frameworks have also been updated — for example, Hadoop 3.0 with its architectural changes has been introduced, and Flink has been added to the Storm chapter for comparative learning — to present readers with more advanced technologies. With a focus on practicality, this volume is enriched with experiments and closely integrates theory with practice, enabling readers to systematically and comprehensively understand Cloud Computing and Big Data technologies. This useful reference textbook benefits professionals, academics, researchers, graduate and undergraduate students in databases information sciences.
Detailed Information
| Author: | Junxiu An |
|---|---|
| Pages: | 374 |
| Language: | English |
| File Size: | 13 |
| Format: | |
| Price: | FREE |
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