Can you explain how Apache Spark works?
Sure! Apache Spark is an open-source distributed computing system that processes large datasets quickly.
What makes Spark faster than Hadoop?
Spark processes data in-memory, which significantly speeds up data processing compared to Hadoop's disk-based approach.
What are the main components of Spark?
The main components include Spark Core, Spark SQL, Spark Streaming, MLlib for machine learning, and GraphX for graph processing.
Can Spark handle real-time data processing?
Yes, Spark Streaming allows for real-time data processing, making it suitable for applications that require immediate insights.
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