Hadoop Administration
Instructor-led training in Hadoop Administration. Delivered live online by senior practitioners, with hands-on labs and a final assessment. Includes an Skilvi course-completion certificate.
Overview
This course provides a comprehensive understanding of Hadoop Administration, equipping you with the skills to manage and maintain Hadoop clusters effectively. As organizations increasingly rely on big data, mastering Hadoop is essential for ensuring optimal performance and scalability of data processing applications.
What you'll learn
- You will be able to install and configure a Hadoop cluster.
- You will be able to monitor Hadoop performance and troubleshoot issues.
- You will be able to manage data storage and security in Hadoop.
- You will be able to implement backup and recovery strategies for Hadoop.
- You will be able to optimize Hadoop jobs for performance improvements.
- You will be able to utilize Hadoop ecosystem tools such as Hive and Pig.
- You will be able to integrate Hadoop with other big data technologies.
- You will be able to apply best practices for Hadoop cluster maintenance.
Curriculum
7 modules · outline is indicative and can be tailored to your team.
1Introduction to Hadoop
- Overview of Hadoop architecture
- Understanding HDFS and MapReduce
- Key components of the Hadoop ecosystem
2Setting Up a Hadoop Cluster
- Hardware and software requirements
- Installation of Hadoop components
- Configuration of HDFS and YARN
3Cluster Management
- Monitoring Hadoop clusters with Ambari
- Managing user permissions and security
- Data replication and fault tolerance
4Performance Tuning
- Optimizing MapReduce jobs
- Configuring memory and resource allocation
- Best practices for efficient data processing
5Data Management in Hadoop
- Loading and storing data in HDFS
- Data lifecycle management
- Integrating Hive for data querying
6Backup and Recovery
- Implementing data backup strategies
- Disaster recovery planning
- Using snapshots for data protection
7Hadoop Ecosystem Tools
- Introduction to Hive, Pig, and HBase
- Using Spark for real-time data processing
- Data ingestion with Kafka
Prerequisites
No prior experience required.
Who should attend
This course is ideal for IT professionals and data engineers looking to enhance their skills in Hadoop administration.
Certification
Frequently asked questions
What is the delivery format of the course?
The course is delivered in a live-online format, allowing for interactive learning.
How long is the course?
The course duration is 40 hours, typically spread over 5 weeks.
Will I receive a certificate upon completion?
Yes, you will receive an Skilvi course-completion certificate after finishing the course.
Are exam vouchers provided?
Exam vouchers are available through authorized channels on request.
Do I need any prerequisites to enroll in this course?
No prior experience is required to enroll.
Pricing on request
- Live online (VILT)
- 24–32 hours
- Hands-on labs & assignments
- Skilvi completion certificate
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