Big Data Analytics Using Hadoop

It’s a space where we dive into the world of huge data processing and turn that into practical insights. So, what do we have for you? Well, we’ve got a collection of MCQs organized by chapters that cover all sorts of topics. You’ll explore the components of the Hadoop ecosystem and even the concepts behind data warehousing.

6 Lessons
3 Hours
Beginner
01
Analyze and Define Business Requirement

Dive into the world of data warehousing with our Multiple Choice Questions on Analyzing Data Using HIVE. This section covers Apache Hive, the SQL-like interface that makes big data accessible to analysis.

30 min Beginner
02
Hadoop Framework and MapReduce Programming

Here is our extensive library of multiple-choice questions about MapReduce programming and the Hadoop framework.

30 min Beginner
03
Analyzing Data Using HIVE

HIVE is a data warehousing tool that allows for querying and managing large datasets stored in Hadoop. Here you will find the MCQs to test your knowledge in HIVE.

30 min Beginner
04
Basics of R Programming and RHIVE

With our MCQs on R Programming and RHIVE, discover how statistical computing and big data intersect. This section covers the basics of R, a language for data manipulation and statistical analysis.

30 min Beginner
05
HIVE Java Connectivity

Master the integration of big data and Java applications with our Multiple Choice Questions on HIVE Java Connectivity.

30 min Beginner
06
Introduction to HBASE, PIG, and JAQL

Our MCQs on HBASE, PIG, and JAQL will help you add more tools to your big data toolbox. This thorough section presents the three essential parts of the Hadoop ecosystem: JAQL for processing JSON queries.

30 min Beginner