Big Data (CS-702 (D)) - Important Questions

Describe the characteristics / V's of Big Data with examples.

Explain the technologies available for big data.

Explain the required infrastructure for Big Data.

Explain the challenges involved in handling big data.

List the characteristics of Big Data and the challenges in handling Big Data.

Explain the various types of Big Data analytics, including predictive analytics.

Draw and explain HDFS architecture and explain HDFS commands with syntax and examples.

What is the Hadoop Ecosystem and what are its various components (including Hive)?

What is MapReduce programming, where is it used and why?

What are the different types of Hadoop configuration files? Discuss.

What is MapReduce and how do its various phases work, with example and diagram?

Explain HDFS in detail / describe its structure in the Hadoop ecosystem with a diagram.

List and explain the components / building blocks of Hadoop with neat sketch and their uses.

Explain the concept of MapReduce with an example.

Discuss the different types and formats of MapReduce with an example of each.

Discuss Mapper, Reducer and Combiner.

How does big data processing differ from distributed processing?

Write short notes on any two of: RDBMS vs Hadoop, Hadoop Ecosystem, ETL Processing, Variation of NoSQL.

Explain Hive in detail including its architecture and working with steps and diagram.

Explain the following term.

Explain HiveQL SELECT with ORDER BY with suitable example.

Write with suitable examples Hive queries for Natural Join and Outer Join.

Explain the procedure to write user defined functions (UDFs) in Hive.

Write a Pig word count program to count occurrences of similar words in a file.

What are the different Hive data types? Explain them briefly.

Explain Hive metastore and the classes used by Hive to read and write HDFS files.

List and explain the relational operators in Pig.

Discuss the various data types in Pig.

Explain what NoSQL databases are, their key characteristics and advantages

Describe applications / use of NoSQL databases in industry.

What is a NoSQL database, how does it differ from relational databases, and what are the main types of NoSQL databases?

What is MongoDB, its key features, and basic CRUD operations with example.

Differences between MongoDB and Hadoop.

Discuss the various types of NoSQL databases with examples.

Differentiate between NoSQL and relational databases

Explain how NoSQL is useful for Big Data problems.

Explain in detail the market and business drivers for Big Data analytics.

Explain the process of sharding in MongoDB.

Explain social network mining (including social network as a graph), its applications, and recommender systems

Write short notes on Recommender system, Social Network as a graph, Traditional versus Big data, and Data types of Pig (any three)

Explain the most frequently used mining method for social network graphs

What do you understand by clustering in Social network analysis?