13.5.2 - When to Use 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.
Practice Questions
Test your understanding with targeted questions
What is Apache Spark primarily used for?
💡 Hint: Think about data speed and flexibility.
Name one advantage of using Spark for real-time analytics.
💡 Hint: Consider response times.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
When should you primarily use Apache Spark?
💡 Hint: Think of scenarios requiring immediate analysis.
True or False: Spark uses on-disk processing which is slower than in-memory processing.
💡 Hint: Recall the distinction between methods in Hadoop.
Get performance evaluation
Challenge Problems
Push your limits with advanced challenges
Consider a company that needs both real-time fraud detection and historical transaction analysis. Discuss how Spark could address these needs together.
💡 Hint: Think of integrating streaming with batch processing.
Analyze a situation where graph processing with Spark could significantly enhance the insights derived from a social media platform.
💡 Hint: Consider the network of interactions as a graph structure.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.