GL660 - Hadoop for Systems Administrators

This course covers the essentials of deploying and managing an Apache™ Hadoop® cluster. The course is lab intensive with each participant creating their own Hadoop cluster using either the CDH (Cloudera's Distribution, including Apache Hadoop) or Hortonworks Data Platform stacks. Core Hadoop services are explored in depth with emphasis on troubleshooting and recovering from common cluster failures. The fundamentals of related services such as Ambari, Zookeeper, Pig, Hive, HBase, Sqoop, Flume, and Oozie are also covered. The course is approximately 60% lecture and 40% labs.

Version: D05


Qualified participants should be comfortable with the Linux commands and have some systems administration experience, but do not need previous Hadoop experience

Supported Distributions:
Red Hat Enterprise Linux 7
Course Outline:
  1. Hadoop Overview
    1. Data Analysis
    2. Big Data
    3. Origins of Hadoop
    4. Hadoop Marketplace
    5. Hadoop Core
    6. Hadoop Ecosystem
    7. Cluster Architecture
    8. Hardware/Software Requirements
    9. Running Commands on Multiple Systems
    Lab Tasks
    1. Running Commands on Multiple Hosts
    2. Preparing to Install Hadoop
  2. HDFS
    1. Design Goals
    2. Design
    3. Blocks
    4. Block Replication
    5. Namenode Daemon
    6. Secondary Namenode Daemon
    7. Datanode Daemon
    8. Accessing HDFS
    9. Permissions and Users
    10. Adding and Removing Datanodes
    11. Balancing
    Lab Tasks
    1. Single Node HDFS
    2. Multi-node HDFS
    3. Files and HDFS
    4. Managing and Maintaining HDFS
  3. YARN
    1. YARN Design Goals
    2. YARN Architecture
    3. Resource Manager
    4. Node Manager
    5. Containers
    6. YARN: Other Important Features
    7. Slider
    Lab Tasks
    1. YARN
  4. MapReduce
    1. MapReduce
    2. Terminology and Data Flow
    Lab Tasks
    1. Mapreduce
  5. Installing Hadoop with Ambari Lab Tasks
    1. CDH Uninstall
    2. Installing Hadoop with Ambari
    3. Tez
  6. Data Ingestion
    1. Sqoop
    2. Flume
    3. Kafka
    Lab Tasks
    1. Sqoop
  7. Data Lineage and Governance
    1. Falcon
    2. Atlas
    3. Oozie
  8. Data Processing Frameworks
    1. The Bane of MapReduce
    2. Tez overview
    3. Pig
    4. Hive
    5. Spark
    6. Storm
    7. Solr
    Lab Tasks
    1. Pig
  9. NoSQL Implementations
    1. HBase
    2. Phoenix
  10. Cluster Management
    1. Ambari Metrics System (AMS)
    2. Zookeeper
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