Big Data | Data Science: Writing Code and Exploring Data

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Oct 13, 2016, 6:21:16 PM10/13/16
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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...
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