Scenario: Your team is developing a real-time analytics application using Apache Spark. Which component of Apache Spark would you use to handle streaming data efficiently?
- GraphX
- MLlib
- Spark SQL
- Structured Streaming
Structured Streaming is a high-level API in Apache Spark that enables scalable, fault-tolerant processing of real-time data streams. It provides a DataFrame-based API, allowing developers to apply the same processing logic to both batch and streaming data, simplifying the development of real-time analytics applications and ensuring efficient handling of streaming data.
Loading...
Related Quiz
- Kafka Streams provides a ________ API for building real-time stream processing applications.
- Which component of the Hadoop ecosystem provides real-time, random read/write access to data stored in HDFS?
- The SQL command used to permanently remove a table from the database is ________.
- ________ measures the degree to which data is free from errors.
- Which of the following is an example of data inconsistency that data cleansing aims to address?