What are the key differences between Hadoop and Spark?
An example of an AI chatbot conversation about Hadoop and Spark ecosystems.
What are the key differences between Hadoop and Spark?
Hadoop is primarily a storage and processing framework, while Spark is a fast data processing engine that can work with data in memory.
Which one is better for real-time data processing?
Spark is generally better for real-time data processing due to its in-memory computing capabilities.
Can you explain how they handle data storage?
Hadoop uses HDFS for storage, while Spark can use HDFS, S3, or other storage systems, allowing more flexibility.
What are some use cases for each?
Hadoop is great for batch processing and large-scale data storage, while Spark excels in machine learning and real-time analytics.
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