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Hadoop online training classes
 

Hadoop online training classes

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Hadoop Online Training with real time experienced certified trainers Apache HADOOP training with Hive and Hbase Attend a demo on Apache Hadoop online Training

Hadoop Online Training with real time experienced certified trainers Apache HADOOP training with Hive and Hbase Attend a demo on Apache Hadoop online Training

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    Hadoop online training classes Hadoop online training classes Presentation Transcript

    • Newyorksys.com
    • Contents What is Hadoop. Why do we need Hadoop. How Hadoop works. HDFS Architecture. What is Map – Reduce. Hadoop Cluster. Hadoop Processes. Topology of a Hadoop Cluster. Distinction of Hadoop Framework . Prerequisites to learn hadoop.
    • What is Hadoop Hadoop is an open Source Framework. Developed by Apache Software Foundation. Used for distributed processing of large datesets. It works across clusters of computers using asimple programming model (Map-Reduce).
    • Why do we need Hadoop Data is growing faster. Need to process multi petabytes of data. The performance of traditional applicationsis decreasing. The number of machines in a cluster is notconstant. Failure is expected, rather than exceptional.
    • How Hadoop Works The Hadoop core consists of two modules : Hadoop Distributed File System (HDFS)[Storage]. Map Reduce [Processing].MapperReducer
    • HDFS Architecture
    • What is Map – Reduce Map Reduce plays a key role in hadoop framework. Map Reduce is a Programming model for writingapplications that rapidly process large amount ofdata. Mapper – is a function that processes input data togenerate intermediate output data. Reducer – Merges all intermediate data from allmappers and generate final output data.
    • Hadoop Cluster A Hadoop Cluster consist of multiplemachines Which can be classified into 3types Namenode Secondary Namenode Datanode
    • Hadoop Processes Below are the daemons (Processes) Whichruns in a cluster.Name node (Runs on a master machine)Job Tracker (Runs on a master machine)Data node (Runs on slave machines)Task Tracker (Runs on slave machines)
    • Topology of a Hadoop Cluster
    • Distinction Simple – Hadoop allows users to quicklywrite efficient parallel code. Reliable – Because Hadoop runs oncommodity hardware, it can face frequentautomatically handle such failures. Scalable – we can increase or decrease thenumber of nodes (machine) in hadoopcluster.
    • Prerequisites Linux bases operating system (Mac OS, Redhat,ubuntu) Java 1.6 or higher version Disk space ( To hold HDFS data and it’sreplications ) Ram (Recommended 2GB) A cluster of computers. You can even install Hadoop on single machine. For more information visit this link: hadoop onlinetraining
    • Newyorksys.com NewyorkSys is one of the leading TrainingCompany in US. We have certified trainers. Weprovide Online Training, Fast Track online training,with job assistance. We are providing excellentTraining in all courses. We also help you in resumepreparation and provide job assistance till you getjob.For more details Visit : http://www.newyorksys.com15 Roaring Brook Rd, Chappaqua, NY 10514.USA: +1-718-313-0499 , 718-305-1757Email : enquiry@newyorksys.us
    • About NewyorksysNewyorksys , the leading IT online training company isgoing to conduct its exclusive Hadoop online trainingprograms. We have a comprehensive and engagingcurriculum for delivering the hadoop conceptsLabels: hadoop online training, hadoop training, hadoopcourse, hadoop online course, hadoop training in usa,hadoop technologies, hadoop training online, hadoopclasses in usa, hadoop training and development, onlinehadoop training, apache hadoop training, apachehadoop course in usa