BIG DATA ANALYTICS (Department Elective-II) — Summer 2022

Define big data. How Big Data and Hadoop are related?

Discuss with an example that big data analytics is helpful in increasing business revenue.

Explain HDFS Architecture with all its components in detail.

What are different configuration files in Hadoop? Explain their roles.

Why data locality is required in Hadoop? Explain with an example.

Discuss various modes in which Hadoop runs.

Explain following commands of HDFS with syntax and example:

get (ii) cp (iii) chown

Write a short note on Zookeeper.

Discuss different types of tables available in Hive.

Write a short note on Hive Data Types.

What is HBase? List its features. Differentiate:

HBase and Hadoop (ii) HBase and RDBMS

Explain any three HiveQL DDL command with example.

What is Hive? List its features. Explain working of Hive with proper diagram.

What is MongoDB? Explain its key features.

Explain CRUD operations in MongoDB with example.

What is NoSQL? List merits of NoSQL over SQL. Explain any two NoSQL database types with example.

Differentiate between NoSQL and RDBMS.

Explain scaling feature of MongoDB.

What is data serialization? Explain structured, unstructured and semi- structured data with example.

Compare MongoDB and RDBMS.

What is shuffling and sorting in Map Reduce. Give an example.

Explain Spark Architecture with all its components in detail.

Explain the role of JobTracker in Hadoop.

Explain PIG architecture with proper diagram.

What are the problems related to Map Reduce data storage? How Spark solves them? Explain.