Practice Hadoop vs. Spark - 13.4 | 13. Big Data Technologies (Hadoop, Spark) | Data Science Advance
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13.4 - Hadoop vs. Spark

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What type of processing is Hadoop primarily designed for?

💡 Hint: Think about what Hadoop processes over time.

Question 2

Easy

What does Spark primarily use for fast data handling?

💡 Hint: Consider how data is stored during processing.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What processing type is Hadoop primarily suited for?

  • Real-time
  • Batch
  • Both

💡 Hint: Think about how data is processed over time.

Question 2

Apache Spark offers better performance than Hadoop due to which feature?

  • True
  • False

💡 Hint: What method does Spark use to handle data during processing?

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Suppose you are tasked with building a data warehousing solution for a large retail company that performs both historical data analysis and needs real-time updates on customer interactions. Which technology would you choose? Justify your selection.

💡 Hint: Consider the processing needs and customer interaction speed.

Question 2

You have been given a dataset of millions of images for a machine learning project. Which of the two frameworks would provide better capabilities for iterative learning tasks, and why?

💡 Hint: Look at the performance characteristics of both frameworks.

Challenge and get performance evaluation