Course Overview
This course will teach students about Hadoop architecture, ETL, and MapReduce.
Chapter 01 – Hadoop Architecture 1h 41m
Topic A: Prerequisites – Part 1
Prerequisites – Part 2
Prerequisites – Part 3
Topic B: Introduction – Part 1
Introduction – Part 2
Introduction – Part 3
Topic C: History – Part 1
History – Part 2
History – Part 3
Topic D: Architecture – Part 1
Architecture – Part 2
Architecture – Part 3
Topic E: Ecosystems – Part 1
Ecosystems – Part 2
Ecosystems – Part 3
Topic F: Data Delivery in Hadoop – Part 1
Data Delivery in Hadoop – Part 2
Data Delivery in Hadoop – Part 3
Topic G: HDFS Basics – Part 1
HDFS Basics – Part 2
HDFS Basics – Part 3
Chapter 2 – ETL and MapReduce 1h 39m
Topic A: Big Data Sources And ETL – Part 1
Big Data Sources And ETL – Part 2
Big Data Sources And ETL – Part 3
Topic B: ETL Demonstration – Part 1
ETL Demonstration – Part 2
ETL Demonstration – Part 3
Topic C: Understanding MapReduce – Part 1
Understanding MapReduce – Part 2
Understanding MapReduce – Part 3
Topic D: MapReduce Demonstration – Part 1
MapReduce Demonstration – Part 2
MapReduce Demonstration – Part 3
Topic E: Developing MapReduce – Part 1
Developing MapReduce – Part 2
Developing MapReduce – Part 3
Topic F: Schedule MapReduce – Part 1
Schedule MapReduce – Part 2
Schedule MapReduce – Part 3
Total Duration: 3h 20m