Course Description:
Learn how to install, maintain, monitor, troubleshoot, optimize, and secure Hadoop.
Apache Hadoop is an open source framework for creating reliable and distributable compute clusters. Hadoop provides an excellent platform to process large unstructured or semi-structured data sets from multiple sources to dissect, classify, learn, and make suggestions for business analytics, decision support, and other advanced forms of machine intelligence.
This course will teach you how to install, maintain, monitor, troubleshoot, optimize, and secure Hadoop. Previous Hadoop experience is not required.
Course Outline
Introduction
- Hadoop history and concepts
- Ecosystem
- Distributions
- High level architecture
- Hadoop myths
- Hadoop challenges (hardware/software)
Planning and installation
- Selecting software and Hadoop distributions
- Sizing the cluster and planning for growth
- Selecting hardware and network
- Rack topology
- Installation
- Multi-tenancy
- Directory structure and logs
- Benchmarking
HDFS operations
- Concepts (horizontal scaling, replication, data locality, rack awareness)
- Nodes and daemons (NameNode, Secondary NameNode, HA Standby NameNode, and DataNode)
- Health monitoring
- Command-line and browser-based administration
- Adding storage and replacing defective drives
MapReduce operations
- Parallel computing before MapReduce: compare HPC versus Hadoop administration
- MapReduce cluster loads
- Nodes and Daemons (JobTracker and TaskTracker)
- MapReduce UI walk through
- MapReduce configuration
- Job config
- Job schedulers
- Administrator view of MapReduce best practices
- Optimizing MapReduce
- Fool proofing MR: what to tell your programmers
- YARN: architecture and use
Advanced topics
- Hardware monitoring
- System software monitoring
- Hadoop cluster monitoring
- Adding and removing servers and upgrading Hadoop
- Backup, recovery, and business continuity planning
- Cluster configuration tweaks
- Hardware maintenance schedule
- Oozie scheduling for administrators
- Securing your cluster with Kerberos
- The future of Hadoop
Target Audience
Experienced System Administrators who are responsible for maintaining a Hadoop cluster and its related components.
What You'll Learn
Join an engaging hands-on learning environment, where you’ll:
- Understand the benefits of distributed computing
- Understand the Hadoop architecture (including HDFS and MapReduce)
- Define administrator participation in Big Data projects
- Plan, implement, and maintain Hadoop clusters
- Deploy and maintain additional Big Data tools (Pig, Hive, Flume, etc.)
- Plan, deploy and maintain HBase on a Hadoop cluster
- Monitor and maintain hundreds of servers
- Pinpoint performance bottlenecks and fix them
Inclusions
With CCS Learning Academy, you’ll receive:
- Instructor-led training
- Training Seminar Student Handbook
- Collaboration with classmates (not currently available for self-paced course)
- Real-world learning activities and scenarios
- Exam scheduling support*
- Enjoy job placement assistance for the first 12 months after course completion.
- This course is eligible for CCS Learning Academy’s Learn and Earn Program: get a tuition fee refund of up to 50% if you are placed in a job through CCS Global Tech’s Placement Division*
- Government and Private pricing available.*
*For more details call:Â 858-208-4141Â or email:Â training@ccslearningacademy.com; sales@ccslearningacademy.com
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