• Big Data | Data Science: Writing Code and Exploring Data

    From nmittal543@gmail.com@21:1/5 to All on Thu Oct 13 15:32:17 2016
    Gain the skills needed to immediately and effectively participate in Big Data and Data Science.

    Learning Objectives:

    Excel in the concepts of Hadoop Distributed File System (HDFS)
    Implement HBase and MapReduce Integration
    Understand Data science Project Life Cycle, Data Acquisition and Data Collection
    Execute various Machine Learning Algorithms
    Understand Apache Hadoop2.7 Framework and Architecture
    Learn to write complex MapReduce programs in both MRv1 and Mrv2
    Design and develop applications involving large data using Hadoop Ecosystem
    Understand Prediction and Analysis Segmentation through Clustering
    Learn the basics of Big Data and ways to integrate R with Hadoop
    Learn various advanced modules like advanced modules like Yarn, Flume, Hive, Oozie, Impala, Zookeeper and Hue.
    Set up Hadoop infrastructure with single and multi-node clusters using Amazon ec2 (CDH4)
    Monitor a Hadoop cluster and execute routine administration procedures
    Implement Spark on a cluster
    Write Spark Applications using Python, Java and Scala
    Get deep insights into the functioning of Scala
    Implement Trident Spouts and understand Trident Filter, Function and Aggregator
    Learn Twitter Boot Stripping
    Work on live Projects in Data Science , Recommender Systems and Big Data Analytics using Hadoop

    Start learning Big Data and Data Science from basics to advance levels here... https://goo.gl/2s3lhg
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