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B.E. (Computer Engineering) Big Data Analytics Lab Syllabus - Mumbai University 2026

The University has moved this degree onto NEP 2020 one year at a time. The first and second years are NEP 2020 syllabi; the third and fourth years are still examined on the REV-2019 'C' Scheme, which is what the University sets for them this year.

Big-Data-Analytics-Lab.pdf
Semester 7 · Fourth Year CE · 1 credit · 50 marks

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Syllabus for Big Data Analytics Lab

Semester 7 · Fourth Year CE · 1 credit · 50 marks

Hadoop HDFS Practical:

  • HDFS Basics, Hadoop Ecosystem Tools Overview. Installing Hadoop. Copying File to Hadoop. Copy from Hadoop File system and deleting file. Moving and displaying files in HDFS. Programming exercises on Hadoop

Module 2: Use of Sqoop tool to transfer data between Hadoop and relational database servers.

  • a. Sqoop - Installation.
  • B To execute basic commands of Hadoop eco system componentSqoop. To install and configure MongoDB/ Cassandra/ HBase/ Hypertable to execute NoSQL commands

Module 4: Experiment on Hadoop Map-Reduce:

  • Write a program to implement a word count program using MapReduce.

Module 5: Experiment on Hadoop Map-Reduce:

  • Implementing simple algorithms in Map-Reduce: Matrix multiplication, Aggregates, Joins, Sorting, Searching, etc

Module 6: Create HIVE Database and Descriptive analytics-basic statistics.

  • Data Stream Algorithms (any one): Implementing DGIM algorithm using any Programming Language Implement Bloom Filter using any programming language Implement Flajolet Martin algorithm using any programming language

Module 8: Social Network Analysis using R (for example: Community Detection Algorithm)

Module 9: Data Visualization using Hive/PIG/R/Tableau/.

Module 10: Exploratory Data Analysis using Spark/ Pyspark .

  • 11* Mini Project: One real life large data application to be implemented (Use standard Datasets available on the web). Streaming data analysis – use flume for data capture, HIVE/PYSpark for analysis of twitter data, chat data, weblog analysis etc. Recommendation System (for example: Health Care System, Stock Market Prediction, Movie Recommendation, etc.) SpatioTemporal DataAnalytics

Useful Links

  • 1 https://www.coursera.org/learn/hadoop#syllabus
  • 2 https://www.coursera.org/learn/introduction-mongodb#syllabus
  • 3 https://www.coursera.org/learn/data-visualization-tableau?specialization=data-visualization#syllabus
  • 4 https://www.coursera.org/learn/introduction-to-big-data-with-spark-hadoop#syllabus

Reproduced from the University of Mumbai syllabus for B.E. (Computer Engineering) under REV-2019 'C' Scheme, in force from the academic year 2022-23. Wording is as printed in that syllabus. Module numbering is as printed there too.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF 7.9 (R-A) B.E. (Computer Engineering) Sem I & II (Revised, NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.24 (N) B.E. (Computer Engineering) Sem III & IV (NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.15 B.E. (Computer Engineering) Third Year, Sem V & VI (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
PDF 6.41 (R) B.E. (Computer Engineering) Fourth Year, Sem VII & VIII (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
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