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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