What is Spark architecture?
An example of an AI chatbot conversation about Spark architecture and its components.
What is Spark architecture?
Spark architecture is a distributed computing framework designed for big data processing. It consists of a driver program, cluster manager, and worker nodes.
Can you explain the role of the driver program?
The driver program is the main control process that coordinates the execution of tasks across the cluster. It converts the user’s code into tasks and schedules them.
What are worker nodes?
Worker nodes are the machines in the cluster that execute the tasks assigned by the driver. They perform the actual data processing.
How does Spark handle data storage?
Spark can work with various data storage systems like HDFS, S3, and NoSQL databases, allowing it to process data from multiple sources.
What are some advantages of using Spark?
Some advantages include in-memory processing, speed, ease of use, and support for multiple programming languages.
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