U-Tad Big Data Master's Degree Lessons Learnt

This is a set of practice lessons learnt during the first U-Tad Master's Degree in Big Data (Oct 2013 - May 2014).

Lessons by day:

• Oct 26th, 2013:

• hadoop.fs Basic Operations in HDFS using Java API.

• flume Echo Sample.

• Nov 23rd, 2013:

• wordcount

• writables - hottest day of the year

• pangool - temperature changes

• thrift - thrift usage sample

• Nov 29th, 2013:

• patterns - Including Inverted Index, Secondary Sort, etc.

• Dec 14th, 2013:

• hive - Hive Samples. Regex Serde table creation, CTAS, etc.

• twitter - Flume + Twitter + Hive. Analyzing tweets.

• Dec 20th, 2013:

• pig - Pig Samples.

• Jan 11th, 2014:

• webhdfs - Hadoop WebHDFS REST API samples.

• hadoop_streaming - Hadoop Streaming Samples using Awk and Ruby.

• Jan 17th-18th, 2014:

• R - First steps in R. Step by step lessons as showed in class.

• Jan 24th, 2014:

• R - Temporal series and principal component analysis samples (sample_6).

• Jan 25th, 2014:

• R - Clustering, Kmeans, PAM, Decision Trees

• Jan 31st, 2014:

• R - Neuronal Networks and Association Rules Samples in R.

• Feb 1st, 2014:

• R - Data Tables, Lists, and R + Hadoop samples.

• Feb 22nd, 2014:

• HBase API - HBase Api. Pair programming session with Fran.

• Mar 7th, 2014:

• Cassandra - Util class.

• Mar 22nd, 2014:

• Neo4j - Example 01.

• Apr 12th, 2014:

• Storm - Storm Hello World and ClickStats Sample

Deliverables:

• HDFS Interaction
  • Compactador
• Map Reduce Exercises - Histogram and FriendsOfMyFriends
  • MapReduce
• Administration
  • Administration
• Design Patterns Exercises - Syslog Analyzer, Salaries Range using In Mapper Combining and Map Only.
  • DesignPatterns
• Pig Exercises
  • Pig Exercises
• R
  • R
• Neo4j
  • Neo4j

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