Answer / Shiva Kant Singh

{"Apache Spark": "An open-source data processing engine that provides an API for programming large-scale data processing applications. It can be used for real-time data streaming, machine learning, SQL querying and graph processing.","Benefits of Spark over MapReduce": "1. Faster processing speed due to in-memory caching and resilient distributed dataset (RDD). 2. Ease of use with built-in libraries for machine learning, SQL and streaming data processing. 3. GraphX library for graph processing. 4. Direct API support for Java, Scala, Python, R, and SQL."}

When should you use spark cache?

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Who uses apache spark?

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How is data represented in Spark?

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What is shuffle read and shuffle write in spark?

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How to create RDD?

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Explain accumulators in apache spark.

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Explain fullOuterJoin() operation in Apache Spark?

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How do I get better performance with spark?

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Explain Spark join() operation?

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Explain the use of broadcast variables

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Can you use Spark to access and analyse data stored in Cassandra databases?

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What does rdd mean?

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