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.
Who should attend this course?
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.
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For dates, times, and location customization of this course, get in touch with us.
You can also speak with a learning consultant by calling 800-961-0337.
What you will learn
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.
With Microtek Learning, you’ll receive:
Certified Instructor-led training
Industry Best Trainers
Official Training Course Student Handbook
Pre and Post assessments/evaluations
Collaboration with classmates (not available for a self-paced course)
Real-world knowledge activities and scenarios
Exam scheduling support*
Learn and earn program*
Knowledge acquisition and exam-oriented
Interactive online course.
Support from an approved expert
For Government and Private pricing*
* For more details call: +1-800-961-0337 or Email: email@example.com
For many years, Microtek Learning has been helping organizations, leaders, and professionals to reach their maximum performance by addressing the challenges they are facing.
- 300+ enterprise clients
- 100,000+ professionals trained
- Service 70 of the Fortune 100
- 96% of our clients would recommend us
Hadoop history and concepts
High level architecture
Hadoop challenges (hardware/software)
Selecting software and Hadoop distributions
Sizing the cluster and planning for growth
Selecting hardware and network
Directory structure and logs
Concepts (horizontal scaling, replication, data locality, rack awareness)
Nodes and daemons (NameNode, Secondary NameNode, HA Standby NameNode, and DataNode)
Command-line and browser-based administration
Adding storage and replacing defective drives
Parallel computing before MapReduce: compare HPC versus Hadoop administration
MapReduce cluster loads
Nodes and Daemons (JobTracker and TaskTracker)
MapReduce UI walk through
Administrator view of MapReduce best practices
Fool proofing MR: what to tell your programmers
YARN: architecture and use
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
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