Big Data Analytics
BDA Labs
Lab Syllabus
| Sr. No. | Title of the Experiment | CO |
|---|---|---|
| 1 | Install Hadoop Framework, it's components and study the Hadoop Ecosystem. | CO1 |
| 2 | Write a program to implement word count program using MapReduce. | CO2 |
| 3 | Implement Matrix multiplication using MapReduce. | CO2 |
| 4 | Install and configure MongoDB/ Cassandra/ HBase/ Hypertable to execute NoSQL commands. | CO3 |
| 5 | Implement CRUD operations using any NOSQL Datastore. | CO3 |
| 6 | Implement Bloom Filter using any programming language | CO4 |
| 7 | Perform Streaming Data Analysis using flume for data capture, PYSpark / HIVE for data analysis of twitter data, chat data, weblog analysis etc. | CO4 |
| 8 | Implement Park, Chen, and Yu (PCY) algorithm to find frequent itemset. | CO5 |
| 9 | Implement any one Clustering algorithm (K-Means/CURE) using Map-Reduce. | CO5 |
| 10 | Implementation of Real Time Recommendation Systems | CO6 |
| VLAB |
15/03/26
13/03/26
BigData Analysis Lab Manual
UPDATE 13/03/26 : We have been instructed to use the Old version again.
Experiment 1
Install & configure Cloudera QuickStart VM and run basic HDFS operations.
Experiment 2
Write a program to implement word count program using MapReduce.
Experiment 3
Implement Matrix multiplication using MapReduce.
Experiment 4
Install and configure MongoDB/ Cassandra/ HBase/ Hypertable to execute NoSQL commands.
Experiment 5
Implement CRUD operations using any NOSQL Datastore.
Experiment 6
Implement Bloom Filter using any programming language
Experiment 7
Perform streaming data analysis using Flume, PySpark/Hive
Experiment 8
Implement PCY algorithm to find frequent itemsets
Experiment 9
Implement a clustering algorithm (K-Means/CURE) using MapReduce
Experiment 10
Implementation of real-time recommendation systems