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Advanced Analytics with Spark: Patterns for Learning from Data at Scale


English | 2015 | ISBN: 1491912766 | 276 pages | PDF + EPUB | 4 + 5 MB

In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark.

The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example.


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ISBN: 9780130888938 | Publisher: Prentice Hall | English | 803 pages | Scan PDF | Tue Jan 15 2002 | 123 MB Presents a complete introduction to distributed principles and paradigms. Author identifies the seven key principles of distributed systems, and presents extensive examples of each. For all developers, software engineers, and architects who need an in-depth understanding of distributed systems. Review: Decent book for students If you're expecting a "how-to" manual on writing distributed systems, this isn't it. It has an excellent coverage of some fundamental principles - I used it as a text book for a distributed systems course and found it very useful. The course and this book changed the way I think about system architecture. Some readers may find the material dry - it is, but in the end it's rewarding. It helps to have an exam at the end to drive you through this book. To the reviewer who said that it doesn't mention what's wrong with distributed objects or NFS, you'll find that it gives you the tools to see past the glossy hype of whatever the latest fad is (distributed objects, web services, or whatever else) and ask serious questions about how it handles failure, security, replication, etc. Having said that, there were glaring grammatical errors, especially towards the end (the chapter on Distributed File Systems). I am surprised that it got past the editors. Also I had to re read some sections several times before I understood them (like the part about reliable group communication). It's still better than going through individual papers, but a more readable revised edition wouldn't hurt. scanned book.

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