Hadoop Administration Online Training
MAP R offers a trusted enterprise grade platform that base a broad set of mission critical and real time production uses with the help of Hadoop. Map R technologies provide distribution facility to Hadoop and offers Hadoop with unique features like cost effective, performance, trustworthiness, easy to use and real time production.
Hadoop Administration Online Training
Course Overview Of Hadoop Admin Online Training :
Our Hadoop Admin Online Training is designed for IT professionals aspiring to build expertise in managing and monitoring large-scale Hadoop clusters. This comprehensive course covers core Hadoop components like HDFS, YARN, MapReduce, Hive, and Zookeeper while providing real-time experience with installation, configuration, and troubleshooting of multi-node Hadoop environments.
With expert-led sessions, hands-on labs, and real-time case studies, this program ensures that you are not just learning the theory but also gaining the skills required to handle production-grade Hadoop systems. Whether you’re aiming to become a certified Hadoop Administrator or seeking career advancement in Big Data, our training is the gateway to your success.
Prerequisites for Hadoop Administration Architect Online Training :
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Basic Understanding of Linux/Unix:
Hadoop is primarily deployed on Linux-based systems. Familiarity with Linux commands, file structures, and permissions is essential for managing Hadoop clusters. -
Knowledge of Networking Concepts:
Understanding of basic networking, including IP addressing, DNS, firewalls, and SSH, is helpful in configuring distributed Hadoop systems. -
Familiarity with Distributed Systems (Optional):
A foundational grasp of distributed computing principles like replication, fault tolerance, and parallel processing will ease your learning process. -
Basic Programming Knowledge (Optional):
While not mandatory, knowledge of Java, Python, or shell scripting can help in writing custom scripts or managing MapReduce jobs. -
Experience with Databases (Optional):
Understanding relational databases and SQL basics is beneficial when working with Hadoop ecosystem tools like Hive or Pig. -
Willingness to Learn New Technologies:
Most importantly, a commitment to learning and applying new Big Data concepts in real-time environments is key to succeeding in this course.
Why Choose Us for Hadoop Administration Online Training ?
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Expert Instructors with Industry Experience
Learn from certified Hadoop administrators and Big Data experts with hands-on experience in managing real-time production clusters. -
Hands-On Lab Sessions
Master Hadoop by working on real-world scenarios, including HDFS setup, MapReduce jobs, and multi-node cluster administration. -
Comprehensive Curriculum
Our syllabus covers Hadoop ecosystem tools like HDFS, YARN, Hive, Pig, Sqoop, and Zookeeper — aligned with current industry requirements. -
Flexible Learning Modes
Choose from instructor-led live classes or self-paced learning, with lifetime access to course materials and recordings. -
Certification & Job Assistance
Get guidance for Hadoop Admin certification exams, along with resume support, mock interviews, and job placement help. -
Real-Time Projects & Case Studies
Work on industry-based projects in domains like e-commerce, banking, and healthcare to build a strong Hadoop Admin portfolio.
Hadoop Administration Course Content :
Module 1: Introduction to Big Data and Hadoop
What is Big Data?
Hadoop Ecosystem Overview
Hadoop Architecture & Components
Hadoop Admin Responsibilities
Module 2: HDFS and YARN Architecture
HDFS Concepts: Blocks, Namenode, Datanode
YARN: ResourceManager, NodeManager
File Read/Write Operations in HDFS
Hadoop Configuration Files
Module 3: Hadoop Cluster Setup and Installation
Planning Hadoop Cluster Setup
Prerequisites and Environment Preparation
Single Node and Multi-node Cluster Setup
Hadoop Configuration and Initialization
Module 4: Hadoop Cluster Administration
Starting and Stopping Hadoop Services
Cluster Monitoring and Health Checks
Log File Management and Troubleshooting
Hadoop File System Commands
Module 5: Data Ingestion and Ecosystem Integration
Using Sqoop, Flume for Data Ingestion
Integration with Hive, Pig, and HBase
Cluster Communication and Data Flow
Module 6: Hadoop Security and User Management
Configuring Permissions in HDFS
Kerberos Authentication Setup
User Roles and Access Control
Module 7: Hadoop Performance Tuning
Performance Monitoring Tools
JVM and Daemon Tuning
Optimization Best Practices
Module 8: Backup, Recovery, and Maintenance
Namenode Backup and Recovery
DataNode Failure Recovery
Hadoop Upgrade Procedures
Cluster Maintenance Tasks
Module 9: Hadoop Ecosystem Tools
Apache Zookeeper Overview
Oozie Workflow Scheduler
Ambari for Cluster Management
Monitoring with Nagios and Ganglia
Module 10: Real-Time Projects and Certification Preparation
Hands-On Projects in E-commerce, Banking, and Healthcare Domains
Resume Preparation and Mock Interviews
Certification Exam Guidance (Cloudera/Hortonworks)
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