Objectives

• Candidates will be introduced to Big Data architectures, infrastructures, as well as tools and techniques for data analysis. They will explore issues relating to Big Data management and develop specialist knowledge and understanding relating to the storage, data and programming interface models used for Big Data.

Outcomes

Learn how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Zeppelin, Hue, and Oozie.

Course Contents

- Big Data Machine Learning- Machine Learning Algorithm K-means using Map Reduce for Big Data Analytics- Parallel K-means using Map Reduce on Big Data Cluster Analysis- Decision Trees for Big Data Analytics- Big Data Predictive Analytics- Spark GraphX & Graph Analytics

Description

Data will be available soon!