Introduction to Hadoop Administration Training

Introduction to Hadoop Administration Training is designed to help professionals develop a conceptual understanding of all the important steps to maintain and operate a Hadoop cluster. This technical course educates about the Big Data landscape and provides comprehensive information about a system administration working aspect of running Hadoop. Throughout the program, students get to learn about the most challenging situations that Hadoop administrators face in the real world. It also familiarizes them with the latest updates and details of the platform. This course is suitable for Administrators who are responsible for managing the Hadoop cluster and other related elements in Linux environments. In this course, trainees will learn the leading methodologies to test Hadoop programs and tune and optimize the Hadoop performance. It also teaches them to install Hadoop for HBase and helps in exploring Mahout, MLib, and other frameworks.

Contact us to customize this class with your preferred dates, times and location.
You can call us on 1-800-961-0337 or Chat with our representative.

• How to rectify Pinpoint performance bottlenecks.
• Maintaining and monitoring multiple servers at a single time.
• Developing, planning and deploying HBase on Hadoop cluster.
• Developing and deploying extra Big Data tools likewise Flume, Pig, Hive etc.
• Maintaining, planning and implementing Hadoop clusters.
• Defining about administrative participations enclosed in Big Data Projects.
• Understanding the advantages of appropriated computing.
• Understanding about Hadoop architecture covering MapReduce and HDFS.

This training is intended for IT professionals, analytics professionals and data management who are seeking to master their skills in Hadoop Administration. Although, Software developers, Analytics Professionals, Software Testers, Data Management Professionals, BI Professionals, Data Scientists, Project Managers can sign up for this certification.

Professionals who are seeking to begin career in Data Analytics can also enroll for this training.

• 1. Introduction
• Hadoop history and concepts
• Ecosystem
• Distributions
• High level architecture
• Hadoop myths
• Hadoop challenges (hardware/software)
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2. 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
3. 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
4. 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
5. 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