Data-intensive text processing with MapReduce

What Hacker News says

1. bcbrownJan 2015
   One approach to getting a list of topics is to look at the degree requirements for a couple of universities. I'm wrapping up a similar project, and here's what I included, along with some resources I used:

   * Algorithms (CLRS, Skiena)

   * Databases (db-class.org, any text by C.J. Date)

   * Probability, Statistics, and Combinatorics

   * Programming Languages (I liked Grossman's course on Coursera)

   * Linear Algebra (http://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebr...)

   * Natural Language Processing (Coursera has several courses)

   * Machine Learning/Information Retrieval/Data Mining (I used a couple books, Mining Massive Datasets and Data-Intensive Text Processing with MapReduce being the two I'd recommend)

   * Networking (Coursera has a good course)

   * Operating Systems (https://www.youtube.com/watch?v=XgQo4JkN4Bw&list=PL62A66DDD3...)

   * Distributed Systems (I read Tanenbaum's book)

   * Computability

   Show morethread
2. bcbrownDec 2013
   Data Intensive Text Processing with MapReduce. It was a key reason I got my current job, which is my dream job at this point in my career.
   thread
3. binarymaxSep 2012
   Nice summary. Slightly off topic, I first learned about the basics of integer compression with some good context in "Data Intensive Text Processing with MapReduce", which I recommend not necessarily for that section, but otherwise as a great book. http://lintool.github.com/MapReduceAlgorithms/
   thread
4. mark_l_watsonOct 2011
   I have found the best resource for map reduce algorithms to be "Data-Intensive Text Processing with MapReduce" by Chris Dyer and Jimmy Lin - a short and very useful book that characterizes map reduce problems and their solutions.
   thread
5. a18xApr 2011
   Continuation of the previous post... Why wouldn’t the noSQL providers use SQL as a starting point? Take SQL standard, relax transactional requirements from ACID to BASE, add functions for searching in columns, add a note that execution of queries with Cartesian product may be extremely slow (with Map Reduce or other parallelization technology. Let the database vendors compete in that field). I recommend book “Data-Intensive Text Processing with MapReduce” by Jimmy Lin and Chris Dyer book for further reading on how to implement relational joins with MapReduce. DML and DDL will be changed substantially, though. Drop or relax relational constraints, different table definition etc. As for coSQL, it looks to me like it introduces Codasyl-syle queries instead of relational algebra.
   Show morethread
6. mark_l_watsonJul 2010
   Good recommendations. I have read about 20 books on his lists and have them in my library. The difference for me is that some of these were very difficult for me to work through!

   Off topic, but: I am reading "Data-Intensive Text Processing with MapReduce" right now and can strongly recommend it: it characterizes different types of problems that can be solved with map reduce, possible solutions, and tradeoffs for different approaches. Really a useful little book.

   Show morethread