Overview/Description Apache Spark is a cluster computing framework for fast processing of Hadoop data. Spark applications can be written in Scala, Java, or Python. In this course, you will learn how to develop Spark applications using Scala, Java, or Python.
Overview/Description Apache Hadoop is an open source framework for distributed storage and processing of large sets of data on commodity hardware. Hadoop enables businesses to quickly gain insight from massive amounts of structured and unstructured data. In this course, you'll learn step-by-step instructions for installing Hadoop in a pseudo-mode and troubleshoot installation errors.
Apache Spark Advanced Topics - e-learningcenter.com - Apache Course
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Apache Kafka Online Training - e-learningcenter.com - Apache Course
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Apache Hadoop Operations Course - e-learningcenter
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Apache Spark Advanced Topics - E-Learning Center
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Overview/Description MapReduce programming is a framework for processing parallelizable problems across huge datasets. This course will define MapReduce programming and explain the basics of programming in MapReduce and Hive. Target Audience This path is designed for developers, managers, database developers, and anyone with the basic knowledge of Java interested in learning the basics of programming in MapReduce.
