For real-time stream processing in Big Data, _______ can be used to build complex transformation pipelines.
- Apache Flink
- Apache Hadoop
- Apache Kafka
- Apache Spark
Apache Flink is a powerful tool for real-time stream processing in the Big Data ecosystem. It allows the construction of complex transformation pipelines for analyzing and processing data streams in real-time. Apache Kafka, Apache Hadoop, and Apache Spark serve different purposes in the Big Data landscape and are not specifically designed for real-time stream processing.
Loading...
Related Quiz
- During a presentation, if a data analyst encounters a question they cannot answer, they should:
- In a retail setting, what data mining technique would be most effective for recommending products based on a customer's past purchase history?
- When executing data = {'a': 1, 'b': 2}; print(data.get(____, 'Not Found')), with a missing key, the output is "Not Found".
- When analyzing a case study about supply chain optimization, which sophisticated model is best suited for handling uncertainties and complexities?
- Which component in a data warehouse architecture is responsible for querying and analyzing data?