Given a use case of real-time data transformation, how would you leverage Hadoop's capabilities?
- Apache Kafka
- Apache Pig
- Apache Storm
- MapReduce
In real-time data transformation scenarios, Apache Storm is a suitable Hadoop ecosystem component. Apache Storm is designed for processing streaming data in real-time, making it effective for continuous and low-latency data transformations in Hadoop environments.
Loading...
Related Quiz
- For a MapReduce job processing time-sensitive data, what techniques could be employed to ensure faster execution?
- For advanced Hadoop clusters, ____ is a technique used to enhance processing capabilities for complex data analytics.
- In optimizing a Hadoop cluster, how does the choice of file format (e.g., Parquet, ORC) impact performance?
- In Hadoop, which InputFormat is ideal for processing structured data stored in databases?
- For complex iterative algorithms in data processing, which feature of Apache Spark offers a significant advantage?