Book/Designing Data-Intensive Applications

From PKC
Jump to navigation Jump to search

Kleppmann, Martin (Mar 1, 2017). Designing Data-Intensive Applications:The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. local page: O'reily Press. 


Martin Kleppmann teaches a course on Distributed systems[1]. The author also has a video series called Distributed Systems[2] on Youtube. One may also want to read on Jean Bacon's book on Concurrent Systems[3].

Critical Insights

In the Summary section of Chapter 10: Batch Processing[4]

In the Unix world, the unifrom interface that allows one program to be composed with another is files and pipes; in MapReduce, that interface is a distributed filesystem. We saw that dataflow engines add their own pipe-like data transport mechanisms to avoid materializing intermediate state to the distributed filesystem, but the initial input and final output of a job is still usually HDFS.

— Martin Kleppmann[5]


References

  1. ↑ Distributed Systems, Instructor Martin Kleppmann, Website course note
  2. ↑ Kleppmann, Martin (Oct 29, 2020). Distributed Systems. local page: Martin Kleppmann. 
  3. ↑ Bacon, Jean (1993). Concurrent Systems: An Integrated Approach to Operating Systems, Database, and Distributed Systems (2nd ed.). local page: Addison Wesley. ISBN 978-0201177671. 
  4. ↑ Kleppmann, Martin (Mar 1, 2017). Designing Data-Intensive Applications:The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. local page: O'reily Press.  , Chapter 10: Batch Processing, Page 429
  5. ↑ Kleppmann, Martin (Mar 1, 2017). Designing Data-Intensive Applications:The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. local page: O'reily Press.  , Chapter 10: Batch Processing, Page 429

Related Pages

Author:Martin Kleppmann


Retrieved from "https://pkc.pub/index.php?title=Book/Designing_Data-Intensive_Applications&oldid=33472"