What is Apache Spark primarily used for?
- Big data processing
- Data visualization
- Mobile application development
- Web development
Apache Spark is primarily used for big data processing, enabling fast and efficient processing of large datasets across distributed computing clusters. It provides various libraries for diverse data processing tasks.
Loading...
Related Quiz
- What is the main difference between DataFrame and RDD in Apache Spark?
- In what scenarios would denormalization be preferred over normalization?
- In batch processing, ________ are used to control the execution of tasks and manage dependencies.
- In normalization, the process of breaking down a large table into smaller tables to reduce data redundancy and improve data integrity is called ________.
- In data modeling, what does the term "Normalization" refer to?