Apache Spark and Scala

Lecture Details

Watch the sample class recording httpwww.edureka.coapache-spark-scala-training?utm_source=youtube&utm_medium=referral&utm_campaign=und_rdd

Resilient Distributed Datasets (RDDs), a distributed memory abstraction that lets programmers perform in-memory computations on large clusters in a fault-tolerant manner.
RDDs are motivated by two types of applications that current computing frameworks handle inefficiently iterative algorithms and interactive data mining tools.


These are the topics covered in the video

1.Understand RDD (Resilient Distributed Datasets)
2.Load data into RDD
3.Analyze Scala RDD, Paired RDD, Double RDD, General RDD Functions.
4.Implement HadoopRDD, Filtered RDD, Joined RDD



Related Blogs

httpwww.edureka.coblogapache-spark-lighting-up-the-big-data-world1?utm_source=youtube&utm_medium=referral&utm_campaign=und_rdd
httpwww.edureka.coblogwhat_is_scala?utm_source=youtube&utm_medium=referral&utm_campaign=und_rdd
httpwww.edureka.coblogapache-spark-redefining-big-data-processing?utm_source=youtube&utm_medium=referral&utm_campaign=und_rdd


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Topics related to ‘Spark and Scala’ have been covered in detail in our course ‘Apache Spark & Scala’.
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