A Spark project contains various components such as Spark Core and Resilient Distributed Datasets or RDDs, Spark SQL, Spark Streaming, Machine Learning Library or Mllib, and GraphX.Ībout Simplilearn Apache Spark Certification training: This makes it suitable for machine learning algorithms, as it allows programs to load data into the memory of a cluster and query the data constantly. As compared to the disk-based, two-stage MapReduce of Hadoop, Spark provides up to 100 times faster performance for a few applications with in-memory primitives.
#WhatIsApacheSpark #ApacheSpark #ApacheSparkTutorial #SparkTutorialForBeginners #SimplilearnApacheSpark #SparkTutorial #SimplilearnĪpache Spark Is an open-source cluster computing framework that was initially developed at UC Berkeley in the AMPLab. To learn more about Spark, subscribe to our YouTube channel: 🤍 In this introduction to Apache Spark video, we will discuss what is Apache Spark, the history of Spark, Hadoop vs Spark, Spark features, components of Apache Spark, Spark core, Spark SQL, Spark streaming, applications of Spark, etc.īelow topics are explained in this Apache Spark Tutorial: This video on What Is Apache Spark? covers all the basics of Apache Spark that a beginner needs to know.
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