Scenario: You are tasked with optimizing the performance of a Spark application that involves a large dataset. Which Apache Spark feature would you leverage to minimize data shuffling and improve performance?
- Broadcast Variables
- Caching
- Partitioning
- Serialization
Partitioning in Apache Spark allows data to be distributed across multiple nodes in the cluster, minimizing data shuffling during operations like joins and aggregations, thus enhancing performance by reducing network traffic and improving parallelism.
Loading...
Related Quiz
- ________ is a distributed stream processing framework used for real-time data processing and analytics.
- What is denormalization, and when might it be used in a database design?
- The process of ________ involves capturing, storing, and analyzing metadata to ensure data lineage accuracy.
- How does data profiling contribute to the data cleansing process?
- In an RDBMS, a ________ is a virtual table that represents the result of a database query.