What are the differences between Apache Spark and Hadoop?
An example of an AI chatbot conversation about comparing Apache Spark and Hadoop.
What are the differences between Apache Spark and Hadoop?
Apache Spark is a fast, in-memory data processing engine, while Hadoop is a distributed storage and processing framework.
Which one is better for big data analytics?
It depends on the use case. Spark is generally faster for real-time analytics, while Hadoop is better for batch processing.
Can they be used together?
Yes, they can be integrated. Spark can run on top of Hadoop's HDFS for data storage.
What are some use cases for each?
Spark is great for machine learning and streaming data, while Hadoop is ideal for large-scale batch processing.
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