Lecture 1			Introduction
Date			20th Jan, 2015
Lab/Assignment			Lab Hadoop Deployment Running the first example (NCDC Weather data) Assignment Calculate year-morning/afternoon/night avg. highest temperature Word count on a big Twitter data

 

 

Lecture 1			HDFS, Inside Map-Reduce, Introduction to Machine Learning
Date			27th Jan, 2015
Lab/Assignment			Lab Twitter Word Count Assignment Naive Bayes Spam Filtering

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• An introduction to Hadoop: Key features, deployment, and uses in the Cloud.
• Big Data Reference Architecture, Design Patterns.
• Map Reduce Framework: Design patterns, Map Reduce in various various environments and integration with traditional data ware houses.Batch Processing: Review of Pig, a scripting language for control of MapReduce processes on Hadoop and Hive, a data warehouse like system with fairly complete SQL like syntax.
• HBase and Hive: Fault-tolerant way of sorting, moving and querying large quantities of sparse data.
• Impala and Flume: Overview and integration of Impala with Flume and Solr.
• Stream Computing: Examine Apache Flume NG as a collection technique and associated tools for complex event processing (CEP) application.

Text Book

• Hadoop-The Definite Guide, Author. Tom White; Publisher: O'Reilly Media.
• Hadoop in Practice, Author: Alex Holmes; Publisher: O'Reilly Media.

References

• Hadoop Operations; Author: Eric Sammer; Publisher:O'Reilly Media.
• Professional Hadoop Solutions; Authors: Boris Lublinsky, Kevin T. Smith, and Alexey Yakubovich; Publisher: O'Reilly Media.
• Map Reduce Design Patterns -- Building Effective Algorithms and Analytics for Hadoop and Other Systems; Author: Donald Miner; Publisher: O'Reilly Media.
• HBase -- The Definite Guide; Author: Lars George; Publisher: O'Reilly Media.