What are the key features of Spark?
Spark is known for its speed, ease of use, and versatility. It supports batch processing, stream processing, and machine learning.
Can you explain how Spark handles big data?
Spark processes big data using in-memory computing, which allows it to perform tasks much faster than traditional disk-based systems.
What programming languages does Spark support?
Spark supports multiple programming languages, including Scala, Java, Python, and R, making it accessible to a wide range of developers.
Is Spark suitable for real-time data processing?
Yes, Spark has a component called Spark Streaming that allows for real-time data processing and analytics.
What are some common use cases for Spark?
Common use cases include data processing, machine learning, data analytics, and real-time stream processing.
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