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Spark is used for big data processing due to its speed, scalability, and ease of use.
Spark is used for processing large volumes of data quickly and efficiently.
It offers in-memory processing which makes it faster than traditional MapReduce.
Spark provides a wide range of libraries for diverse tasks like SQL, streaming, machine learning, and graph processing.
It can run on various platforms like Hadoop, Kubernetes, and st...
RDDs and DataFrames are data structures in Apache Spark for processing and analyzing large datasets.
RDDs (Resilient Distributed Datasets) are the fundamental data structure of Spark, representing a collection of elements that can be operated on in parallel.
DataFrames are distributed collections of data organized into named columns, similar to a table in a relational database.
DataFrames are built on top of RDDs, providi...
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I applied via Walk-in and was interviewed before Dec 2020. There were 3 interview rounds.
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Basic logical reasoning and verbal questions . Easy to clear
I was interviewed in Mar 2021.
I applied via Campus Placement and was interviewed before Oct 2020. There were 3 interview rounds.
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