DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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MLlib
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GraphX
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RDDs
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Spark Streaming
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Detailed explanation-1: -Spark Streaming leverages Spark Core’s fast scheduling capability to perform streaming analytics. It ingests data in mini-batches and performs RDD (Resilient Distributed Datasets) transformations on those mini-batches of data.
Detailed explanation-2: -Spark Streaming is a real-time solution that leverages Spark Core’s fast scheduling capability to do streaming analytics. It ingests data in mini-batches, and enables analytics on that data with the same application code written for batch analytics.
Detailed explanation-3: -Spark Streaming It uses Spark Core’s fast scheduling capability to perform streaming analytics. It accepts data in mini-batches and performs RDD transformations on that data.
Detailed explanation-4: -Which of the following is true for Spark core? It enables users to run SQL / HQL queries on the top of Spark.
Detailed explanation-5: -Apache Spark consists of Spark Core Engine, Spark SQL, Spark Streaming, MLlib, GraphX and Spark R. You can use Spark Core Engine along with any of the other five components mentioned above.