Showing posts with label Hadoop. Show all posts
Showing posts with label Hadoop. Show all posts
Wednesday, 30 March 2016
Book: Data Algorithms Recipes for Scaling Up with Hadoop and Spark
Very nice book which teaches how to implement mechine learning and data mining techniques such as NBC, recommender, clustering, etc. Implemented in java, the book provides codes in both hadoop mapreduce and apache spark in simple-to-understand and clean manner. Have re-coded most of the algorithms in the book except for chapters dealing with some of the bio stuff which i am not particularly interested at the moment.
Book: Hadoop MapReduce v2 Cookbook
Use the material of this book to build the mapreduce algorithms and hdfs infrastructure for my project. Very good introduction in terms of hadoop mapreduce and how to set up hdfs and yarn in virtual environment.
Link: https://www.packtpub.com/big-data-and-business-intelligence/hadoop-mapreduce-v2-cookbook-second-edition
Link: https://www.packtpub.com/big-data-and-business-intelligence/hadoop-mapreduce-v2-cookbook-second-edition
Sunday, 7 September 2014
Online Course: Intro to Hadoop and MapReduce
Udacity Link: Intro to Hadoop and MapReduce
Very easy-to-learn course (should be able to finish the tutorial and course in around 1.5 hours), basically the user will learn how to write command lines to interact with Hadoop DFS and write simple mapper and reducer python scripts to process files in Hadoop DFS
Very easy-to-learn course (should be able to finish the tutorial and course in around 1.5 hours), basically the user will learn how to write command lines to interact with Hadoop DFS and write simple mapper and reducer python scripts to process files in Hadoop DFS
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