Data Analytics (CS-503 (A)) - Important Questions

Given mean, standard deviation and N for normally distributed data, find the number/percentage of observations lying between two values and above a value.

Given a discrete probability function with unknown constant k, determine k, mean and variance.

What is Hadoop, its architecture, core components, and role in big data analysis?

Explain the following:

Discuss the trends in big data generation and acquisition.

Explain social media analytics with an example.

What are the various stages in big data analytics life cycle? Illustrate with a figure, explaining each of them.

Why choose Hadoop for Big Data processing and what are distributed and parallel computing challenges?

Explain interaction with the Hadoop ecosystem and list various big data processing technologies.

Explain the MapReduce programming model and its main components.

Explain the architecture and data storage process in HDFS with diagram and example

Explain the Pig Data Model in detail and how it supports effective data flow.

Draw and explain the architecture of Apache Hive and explain data insertion techniques in Hive with examples.

Why is finding similar items important in Big Data? Illustrate using two example applications.