Big Data Analytics — Summer 2025

State the difference between traditional data and big data.

Write a short note on predictive analytics.

Explain the “V’s” of Big Data in detail with relevant examples.

Write a Map-Reduce code for Word Count.

Explain the steps to set up the Hadoop cluster.

Draw and explain Map-Reduce framework in detail.

Draw and discuss HDFS architecture in detail.

Compare and contrast NoSQL and relational databases.

Write CQL queries for the following in Cassandra: 1. Create a keyspace named company 2. Create a table employee with columns: emp_id (PRIMARY KEY), name, dept, salary.

Discuss the architecture and features of Cassandra. How does it manage data distribution and fault tolerance?

Differentiate between master-slave and peer-to-peer distribution models.

Write CQL queries for the following in Cassandra: 1. Create a keyspace named university 2. Create a table students with columns: student_id (PRIMARY KEY), name, course, marks

Describe the four ways in which NoSQL systems handle big data problems. Illustrate your answer with suitable examples.

Differentiate between traditional batch processing and stream processing.

Explain the concept of lazy evaluation in Spark with an example.

Describe Flajolet-Martin algorithm with suitable example.

Enlist the challenges in mining data streams.

Explain the Spark execution workflow from job submission to task execution.

Explain the concept of counting ones in a window using DGIM algorithm. Illustrate with a bit stream example.1

Compare Apache pig with Map Reduce.

Explain the architecture of ZooKeeper.

Explain working of Hive with necessary steps and diagram.

Explain Metastore in Hive.

Explain the data processing operators in PIG.

Discuss the concepts of regions in HBase and storing Big Data with HBase.