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AKTU Big Data and Analytics Lab (BCDS651) Syllabus PDF – B.Tech 3rd Year

Big Data and Analytics Lab BCDS651

All syllabus, notes, question bank & PYQ for this subject

  • English
  • Semester 6
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Official AKTU syllabus of Big Data and Analytics Lab (BCDS651) for B.Tech 3rd Year – 1 credits, L-T-P 0-0-2. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.

Syllabus — Big Data and Analytics Lab

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BCDS651 · 1 credits · L-T-P 0-0-2

Course Outcomes

At the end of course, the student will be able to

CO 1Optimize business decisions and create competitive advantage with Big data analyticsK , K 3 5
CO 2Practice java concepts required for developing map reduce programsK , K 4 5
CO 3Impart the architectural concepts of Hadoop and introducing map reduce paradigm.K , K 4 5
CO 4Practice programming tools PIG and HIVE in Hadoop eco system.K 5
CO 5Implement best practices for Hadoop development.K , K 5 6

Course Content

  1. Downloading and installing Hadoop; Understanding different Hadoop modes. Startup scripts, Configuration files.
  2. Implement the following file management tasks in Hadoop: i. Adding files and directories ii. Retrieving files iii. 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
  6. Installation of Hive along with practice examples.
  7. Installation of HBase, Installing thrift along with Practice examples
  8. Patrice importing and exporting data from various data bases .
  9. Write PIG Commands: Write Pig Latin scripts sort, group, join, project, and filter your data.
  10. Run the Pig Latin Scripts to find Word Count .
  11. Run the Pig Latin Scripts to find a max temp for each and every year. Note: The Instructor may add/delete/modify/tune experiments

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