Become a Hadoop Administrator with ENCODE-IT’s Expert Online Course

Take your career to the next level by mastering Hadoop Administration with ENCODE-IT’s
comprehensive online training. Hadoop is the backbone of modern big data solutions, powering
organizations to process and store vast amounts of data across clusters. As a Hadoop Administrator,
you’ll be responsible for managing, maintaining, and scaling Hadoop clusters, ensuring the smooth
functioning of big data workflows. ENCODE-IT’s course is designed to equip you with all the
necessary skills and knowledge to become proficient in Hadoop administration and succeed in the
rapidly growing big data industry.

Course Overview
This Hadoop Administration course will provide you with in-depth knowledge of the Apache Hadoop
ecosystem, including its core components such as HDFS (Hadoop Distributed File System), YARN
(Yet Another Resource Negotiator), MapReduce, and Hive. You’ll gain hands-on experience in
setting up, configuring, and managing Hadoop clusters, troubleshooting common issues, and
optimizing cluster performance.

Starting from the fundamentals, you’ll progress to advanced topics like cluster security, data
replication, high availability, and backup strategies. This course is perfect for IT professionals, system
administrators, and those looking to transition into big data and Hadoop administration roles. By the
end of the course, you’ll have the skills to manage large Hadoop clusters and ensure the
performance and security of data processing and storage systems.

Salary Scale in India
The demand for Hadoop Administrators has surged with the growing adoption of big data
technologies. As organizations scale their big data infrastructure, skilled Hadoop administrators are
needed to ensure system reliability and performance. In India, an entry-level Hadoop Administrator
can expect to earn between ₹6 lakhs and ₹10 lakhs annually. With experience, Senior Hadoop
Administrators and Big Data Architects can command salaries ranging from ₹12 lakhs to ₹20 lakhs
per year, depending on the organization and location. As more companies invest in Hadoop and big
data technologies, the need for professionals in this role is expected to continue rising.

Placement Assistance & Certification in India
Upon completion of the Hadoop Administration course, ENCODE-IT provides comprehensive
placement assistance to help you land your dream job. You’ll also receive a Certificate of
Completion from ENCODE-IT, validating your skills and making you an attractive candidate for top
employers. Our job placement support includes resume building, interview coaching, and access to
a network of hiring companies in the big data and cloud space.

Course Curriculum

1. Introduction to Hadoop and Big Data

o Understanding Big Data and its Challenges
o Introduction to Apache Hadoop and its Ecosystem
o Key Components of Hadoop: HDFS, YARN, MapReduce
o Hadoop Use Cases in Industry: Banking, Healthcare, E-commerce, and More
o Hadoop Cluster Architecture and Workflow

2. Setting Up and Configuring Hadoop
o Installing Hadoop: Prerequisites and Setup
o Configuring Hadoop Core Components: HDFS, YARN, MapReduce
o Understanding Configuration Files: core-site.xml, hdfs-site.xml, yarn-site.xml
o Hadoop Cluster Setup: Single Node vs Multi-Node Clusters
o Setting Up SSH and Configuring User Access in Hadoop

3. HDFS Administration
o Introduction to HDFS: Architecture and Design
o Managing HDFS Directories: Creating, Moving, and Deleting Files
o Understanding Data Replication and its Importance in HDFS
o Managing Disk Space and Data Integrity in HDFS
o HDFS Balancer: Ensuring Balanced Data Distribution
o Performing HDFS Checkpoints and Data Recovery

4. YARN Resource Management
o Introduction to YARN and Resource Management
o Setting Up YARN: Resource Manager, Node Manager, and Application Master
o Understanding YARN Scheduler: Capacity, Fair, and FIFO Scheduler
o Managing YARN Resources and Jobs
o Troubleshooting Resource Allocation Issues in YARN

5. MapReduce Administration
o Understanding the MapReduce Framework and Its Components
o Configuring MapReduce Jobs for Optimal Performance
o Tuning MapReduce Jobs for Faster Data Processing
o Monitoring and Debugging MapReduce Jobs
o Managing Job Queues and Job Execution with YARN

6. Cluster Monitoring and Management

o Introduction to Cluster Monitoring Tools
o Using Hadoop Web UI for Monitoring Cluster Health
o Managing and Monitoring Hadoop Daemons: HDFS, YARN, and MapReduce
o Setting Up and Using Ganglia and Ambari for Cluster Monitoring
o Generating and Analyzing Hadoop Logs for Troubleshooting
o Implementing Health Checks and Cluster Alerts

7. Data Security and User Management in Hadoop
o Introduction to Hadoop Security: Authentication and Authorization
o Configuring Kerberos Authentication in Hadoop
o Managing User and Group Permissions in HDFS and YARN
o Securing Data with HDFS Encryption
o Integrating Hadoop with External Security Systems

8. High Availability and Fault Tolerance in Hadoop
o Setting Up Hadoop High Availability: NameNode and ResourceManager HA
o Configuring Data Replication and Data Recovery Mechanisms
o Hadoop Federation: Managing Multiple HDFS Namespaces
o Backup and Disaster Recovery Strategies for Hadoop Clusters
o Ensuring Fault Tolerance and Redundancy in Hadoop Systems

9. Upgrades and Performance Tuning in Hadoop
o Planning and Performing Hadoop Cluster Upgrades
o Optimizing HDFS and MapReduce Performance
o Tuning YARN for Better Resource Utilization
o Understanding JVM Tuning for Hadoop Processes
o Load Balancing Techniques for Large-Scale Hadoop Clusters
o Implementing Hadoop Performance Best Practices

10. Advanced Hadoop Administration
o Setting Up Hadoop in the Cloud: AWS, Azure, Google Cloud
o Managing Hadoop on Virtualized and Containerized Environments
o Integrating Hadoop with Other Big Data Tools: Hive, Pig, HBase
o Advanced Troubleshooting and Cluster Optimization Techniques
o Integrating Hadoop with Machine Learning and Analytics Platforms

11. Real-World Projects and Use Cases
o Setting Up and Managing a Multi-Node Hadoop Cluster in a Production Environment
o Configuring and Managing Data Ingestion Pipelines for Large Datasets
o Implementing High Availability and Data Recovery Solutions in Hadoop
o Troubleshooting and Optimizing a Hadoop Cluster in a Business Environment
o Deploying a Fully Functional Hadoop Cluster in the Cloud

12. Final Project and Certification Exam
o Final Project: Designing and Implementing a Scalable Hadoop Cluster
o Configuring and Managing Data Storage, Resource Allocation, and Security
o Final Exam: Comprehensive Assessment of Hadoop Administration Skills
o Certification of Completion from ENCODE-IT and Job Placement Assistance

Why Choose ENCODE-IT for Hadoop Administration Training?
ENCODE-IT provides a hands-on, expert-led approach to learning Hadoop Administration, ensuring
that you gain both theoretical knowledge and practical experience. Our real-world projects give you
the chance to apply your skills in real business environments, while our expert instructors offer
insights from their extensive industry experience. Additionally, we offer placement assistance,
certification, and personalized job support to help you succeed in your career as a Hadoop
Administrator.

With Hadoop becoming a critical part of big data infrastructure in companies worldwide, this course
will equip you with the skills necessary to handle cluster management, data security, and
performance optimization. Whether you're a system administrator looking to move into big data or
someone looking to advance your career in Hadoop, ENCODE-IT’s Hadoop Administration course is
your gateway to success in the big data and cloud domains.