Course Overview
Apache Hadoop is the most popular framework for processing Big Data on clusters of servers.
This course will introduce a developer to the Hadoop ecosystem.
In this course students will learn:
- Hadoop & Big Data
- HDFS
- YARN
- Hive
- HBase
What you’ll learn
During the Hadoop for Developers course, students will learn:
- Learn Hadoop Ecosystem and tools for Big Data analytics
Requirements
- Developer background
- Comfortable with SQL and Java programming language (HBase labs are in Java)
- Comfortable in a Linux environment
Target audiences
- Developers
Curriculum
- 1 Section
- 5 Lessons
- 3 Days
Expand all sectionsCollapse all sections
- Topics5
- 1.1Introduction to Hadoop Hadoop Ecosystem Hadoop Distributions High-level architecture Hardware and software Lab: first look at Hadoop
- 1.2HDFS Design and architecture Concepts (horizontal scaling, replication, data locality, rack awareness) Daemons: Namenode, Secondary Namenode, Datanode Communications and heart-beats Data integrity Read and write path Namenode High Availability (HA), Federation Labs: Interacting with HDFS
- 1.3YARN YARN Concepts and architecture Resource Manager, Node Manager Writing YARN applications Labs: Running a sample YARN program
- 1.4Hive Architecture and design Hive Data types HQL Creating Hive tables and querying Partitions Joins Text processing Labs: various labs on processing data with Hive
- 1.5HBase Concepts and architecture HBase vs RDBMS vs Cassandra HBase Java API Time series data on HBase Schema design Labs: Interacting with HBase using shell; programming in HBase Java API ; Schema design exercise
Instructor
