Administrator Training course for Apache Hadoop provides participants with a comprehensive understanding of all the steps necessary to operate and maintain a Hadoop cluster. From installation and configuration through load balancing and tuning, this course is the best preparation for the real-world challenges faced by Hadoop administrators.
- Resume & Interviews Preparation Support
- Hands on Experience on Project.
- 100 % Placement Assistance
- Multiple Flexible Batches
- Missed Sessions Covered
- Practice Course Material
At the end of Hadoop Administrator Training Course, Participants will be able to:
- Learn about Hadoop Architecture and its main components
- Learn Hadoop installation and configuration
- Plan and Deploy a Hadoop cluster
- Optimize Hadoop cluster for high performance, based on specific job requirements · Monitor Hadoop cluster and Execute routine Administration procedures · Handle Hadoop component failures and recoveries · Determining the correct hardware and infrastructure for your cluster
- Troubleshooting, diagnosing, tuning, and solving Hadoop issues
- Prepare for the Cloudera Certified Administrator for Apache Hadoop
- Weekends: 8 Weekend (Weekend batches) (32 hours)
- BSc, BCS, BCA, BE, B.Tech, MSc, MCS, MCA, M.Tech
- This course requires no prior knowledge of Java, Hadoop Cluster Administration or Apache Hadoop. Fundamental knowledge of Linux basics is necessary as Hadoop runs on Linux.
Who Should Attend?
- Systems administrators, linux administrators, windows administrators, Infrastructure engineers, Big Data Architects, DB Administrators, IT managers and Mainframe Professionals.
- Introduction to big data, limitations of existing solutions
- Hadoop architecture
- Hadoop components and ecosystem
- HDFS internals and use cases
- HDFS Daemons
- Files and Blocks
- NameNode Memory Considerations
- Secondary Name Node
- HDFS Access Options
- Hadoop and Multi-Node Installation
- Create a Clone of Hadoop Virtual Machine
- Perform Clustering of the Hadoop Environment
- Introduction to HBase, Zookeeper & Sqoop
- Overview of Zookeeper
- Job Scheduling
- Sqoop Overview and Installation
1.2 Installing the Hadoop Distributed File System (HDFS)
- Defining key design assumptions and architecture
- Configuring and setting up the file system
- Basic Hadoop Commands
- Issuing commands from the console
- Reading and writing files
1.3 MapReduce and Spark on YARN
- Understanding MapReduce
- The Map and Reduce Phase
- WordCount in MapReduce
- Running MapReduce Job
- Need for YARN
- YARN Architecture
- YARN Installation and Configuration
- Upgradation of Hadoop Cluster
- Cluster Maintenance
- Using DISTCP for Copying Data Through Clusters
- Recovery and Diagnostics.
1.5 Hadoop Cluster: Planning and Management
- Planning the Hadoop cluster
- Cluster sizing, hardware
- Network and software considerations
- Popular Hadoop distributions, workload, and usage patterns.
1.6 Hadoop Security
- Why Hadoop Security Is Important
- Hadoop’s Security System Concepts
- What Kerberos Is and how it Works
- Securing a Hadoop Cluster With Kerberos
- Other Security Concepts
1.7 Advanced Administration Concepts
- Hadoop Hardware and Software Monitoring and Failures
- 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
- The Future of Hadoop
- Cloudera Installation
- Cloudera Administration
The typical responsibilities of a Hadoop admin include – deploying a hadoop cluster, maintaining a hadoop cluster, adding and removing nodes using cluster monitoring tools like Ganglia Nagios or Cloudera Manager, configuring the NameNode high availability and keeping a track of all the running hadoop jobs.
Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.
Hadoop Administrator is one who administers and manages hadoop clusters and all other resources in the entire Hadoop ecosystem.