This course aims to simplify the learning journey into the Hadoop technology stack by providing a structured approach. The learning outcomes include understanding Hadoop ecosystem components, HDFS features, Hadoop architecture, high availability, fault tolerance, MapReduce, YARN, and Kerberos authentication. The course teaches skills such as installing a Hadoop cluster, using HDFS commands, and implementing MapReduce examples. The teaching method involves tutorials and practical examples. The intended audience for this course is beginners looking to learn about Hadoop technology.
Overview
Syllabus
Hadoop Tutorial - Inaugural.
Hadoop Tutorial - Introduction.
Hadoop Tutorial - HDFS Features.
Hadoop Tutorial - Architecture.
Hadoop Tutorial - High Availability, Fault Tolerance & Secondary Name Node.
Hadoop Tutorial - Installing a Hadoop Cluster.
Hadoop Tutorial - HDFS Commands.
Hadoop Tutorial - The Map Reduce.
Hadoop Tutorial - Map Reduce Examples - Part 1.
Hadoop Tutorial - Map Reduce Examples - Part 2.
Hadoop Tutorial - Map Reduce Examples - Part 3.
Hadoop Tutorial - The YARN.
Hadoop Tutorial - File Permission and ACL.
Hadoop Tutorials - Kerberos Authentication - Part 1.
Hadoop Tutorials Kerberos Authentication - Part 2.
Hadoop Tutorials - Kerberos Integration - Final.
Google Cloud Tutorial - Hadoop | Spark Multinode Cluster | DataProc.
Taught by
Learning Journal
