High Performance in-memory computing with Apache Ignite (Paperback) by Shamim Bhuiyan, Michael Zheludkov, Timur Isachenko
IDR 1195879
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This book is particularly useful for those looking to solve database bottlenecks, handle high-volume ACID transactions, and boost performance in distributed computing environments.
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Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | April, 2017 |
| Pages | 360 |
| Edition | Paperback |
| Publisher | Lulu Press |
| Original languages | English |
| Language | English |
| Binding type | Paperback / softback |
| Assembled product height | 11 in |
| Assembled product weight | 1.78 lb (810 grams) |
| Bisac subject heading | Computers |
Product Description
High Performance in-memory computing with Apache Ignite (Paperback) by Shamim Bhuiyan, Michael Zheludkov, Timur Isachenko
Customer Questions & Answers
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Question:
Who is this book intended for?
Answer: It's ideal for developers and engineers dealing with high-volume transactions, database performance issues, and distributed computing. -
Question:
What topics does the book cover?
Answer: The book covers in-memory data grid, service grid, streaming event processing, and various use cases related to high-performance computing. -
Question:
Can this book help improve existing systems?
Answer: Yes, it provides strategies to enhance the performance of existing ecosystems like Hadoop without requiring major system changes.
Shamim Bhuiyan; Michael Zheludkov; Timur Isachenko All Books Editorial Review
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IDR 1195879
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Features & Benefits
- Learn high-performance in-memory computing with Apache Ignite.
- Address database bottlenecks and improve transaction performance.
- Optimize Microservices deployment in distributed systems.
- Enhance Hadoop ecosystem performance for map/reduce jobs.
- Utilize in-memory sharing of Spark RDD without disk storage.
- Process continuous streams and complex data events efficiently.
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