Data Science (IT-702 (A)) - Important Questions

What is big data? Explain its main features/characteristics in terms of volume, variety and velocity.

Explain the types of data in detail.

Discuss the various sources of data.

Describe the data storage and management in brief.

What is Big Data Analytics? Explain with real-world use cases and examples of its applications.

Describe the additional clustering algorithm with an example.

How can text be analyzed? Also explain text analysis steps.

Explain the building blocks/core components of Hadoop with a neat sketch.

Distinguish between Hadoop and traditional database.

Explain the basic architecture of HDFS.

Explain the various components of Hive and the Hive query processor.

Explain the key components of HBase.

Explain how Sqoop is different from Flume.

Compare R and Python programming languages for predictive modeling.

Explain the data visualization basics.

Describe how to operationalize an analytics project.