Course Outline
Upon completing this course, the learner will be able to meet these overall objectives:

  • Understand the fundamentals and characteristics of Big Data and various scalability options available to help organizations manage Big Data
  • Understand Hadoop Administration activities and computational frameworks for processing Big Data
  • Master the concepts of the Hadoop framework, including architecture, the Hadoop distributed file system and deployment of Hadoop clusters using core or vendor specific distributions
  • Use cluster planning and tools for data ingestion into Hadoop clusters, and cluster monitoring activities
  • Utilize Hadoop components within Hadoop ecosystem like Hive, HBase and Spark
  • Course Overview
  • HDFS Hadoop Distributed File System
  • Hadoop Cluster Setup and Working
  • Hadoop Configurations and Daemon Logs
  • Hadoop Cluster Maintenance and Administration
  • Hadoop Computational Frameworks
  • Managing Resources
  • Hadoop Cluster Planning
  • Hadoop Clients and Hue Interface
  • Data Ingestion in Hadoop Cluster
  • Hadoop Ecosystem ComponentsServices
  • Hadoop Security
  • Hadoop Cluster Monitoring