Big Data | Data Science: Writing Code and Exploring Data

[nmitt...@gmail.com‏]

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