DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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GraphX
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MLlib
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Spark streaming
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All of the mentioned
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Detailed explanation-1: -GraphX is a distributed graph-processing framework on top of Spark. It provides an API for expressing graph computation that can model the user-defined graphs by using Pregel abstraction API. It also provides an optimized runtime for this abstraction.
Detailed explanation-2: -Spark GraphX is a distributed graph processing framework built on top of Spark.
Detailed explanation-3: -8. is a distributed graph processing framework on top of Spark. Explanation: GraphX started initially as a research project at UC Berkeley AMPLab and Databricks, and was later donated to the Spark project.
Detailed explanation-4: -GraphX is the distributed graph-processing framework on top of Spark. It provides an API to implement and express graph computation that has the ability to model user-defined graphs with the use of the Pregel abstraction API.
Detailed explanation-5: -Spark SQL. Spark SQL is a component on top of Spark Core that introduces a new set of data abstraction called SchemaRDD. SchemaRDD provides support for both structured and semi-structured data.