Practice Big Data Technologies (Hadoop, Spark) - 13 | 13. Big Data Technologies (Hadoop, Spark) | Data Science Advance
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Big Data Technologies (Hadoop, Spark)

13 - Big Data Technologies (Hadoop, Spark)

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Define Big Data.

💡 Hint: Think about the characteristics that define Big Data.

Question 2 Easy

What does HDFS stand for?

💡 Hint: Consider the storage aspect of Hadoop.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does 'Velocity' refer to in Big Data?

The size of data
The speed of data generation
The type of data

💡 Hint: Think about the pace of data influx.

Question 2

Apache Spark primarily processes data in which way?

True
False

💡 Hint: Recall how Spark handles data compared to Hadoop.

3 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Describe a scenario where Hadoop might be the preferred technology over Spark and explain why.

💡 Hint: Think about situations requiring less real-time processing and more reliable storage.

Challenge 2 Hard

How can integrating Hadoop with Spark improve data processing capabilities?

💡 Hint: Consider storage and processing dynamics.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.