List of Practical
1. Downloading and installing Hadoop; Understanding different Hadoop modes. Startup scripts, Configuration files
2. Implement the following file management tasks in Hadoop:
- Adding files and directories
- Retrieving files
- Deleting files
Hint: A typical Hadoop workflow creates data files (such as log files) elsewhere and copies them into HDFS using one of the above command line utilities
3. Implement of Matrix Multiplication with Hadoop Map Reduce
4. Write a Map Reduce program that mines weather data. Hint: Weather sensors collecting data every hour at many locations across the globe gather a large volume of log data, which is a good candidate for analysis with Map Reduce, since it is semi structured and record-oriented
5. Run a basic Word Count Map Reduce program to understand Map Reduce Paradigm.
6. Implementation of K-means clustering using Map Reduce.
7. Installation of Hive along with practice examples.
8. Installation of HBase, Installing thrift along with Practice examples
9. Run the Pig Latin Scripts to find Word Count.
10. Run the Pig Latin Scripts to find a max temp for each and every year.
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