Hadoop Ecosystem Mastery Training Course: Expert Level Big Data Processing

Introduction

Become a proficient Big Data professional with our comprehensive Hadoop Ecosystem Mastery Training Course. This program provides an in-depth exploration of HDFS, MapReduce, YARN, and related Hadoop components, equipping you with the essential skills to manage and process massive datasets efficiently. In today's data-driven world, mastering the Hadoop ecosystem is critical for handling large-scale data processing and analytics. Our Hadoop training course offers hands-on experience and practical knowledge, enabling you to build robust and scalable data solutions.

This Hadoop ecosystem training delves into the intricacies of HDFS for distributed storage, MapReduce for parallel processing, and YARN for resource management. You'll gain expertise in configuring, managing, and optimizing Hadoop components, enabling you to tackle complex data challenges with confidence. Whether you're a data engineer, developer, or administrator, this Hadoop mastery course will empower you to leverage the full potential of the Hadoop ecosystem for your organization.

Target Audience:

• Big Data Engineers
• Hadoop Administrators
• Data Architects
• Software Developers
• Data Analysts
• System Administrators
• Anyone needing deep Hadoop expertise

Course Objectives:

• Understand the core concepts and architecture of the Hadoop ecosystem.
• Master the fundamentals of HDFS for distributed storage.
• Develop and execute MapReduce jobs for parallel data processing.
• Effectively manage resources with YARN.
• Configure and optimize Hadoop components for performance.
• Integrate Hadoop with other Big Data technologies.
• Troubleshoot and debug Hadoop applications and clusters.
• Implement data security and governance in Hadoop.
• Utilize Hadoop tools for data ingestion and processing.
• Implement best practices for Hadoop cluster administration.
• Understand how to monitor and manage Hadoop
• Explore advanced features of Hadoop
• Apply real world use case to Hadoop Ecosystem.

Duration

10 Days

Course content

Module 1: Introduction to Hadoop Ecosystem

• Fundamentals of the Hadoop ecosystem.
• Architecture and components of Hadoop.
• Setting up a Hadoop development environment.
• Understanding Hadoop distributions and tools.
• Introduction to Hadoop use cases.

Module 2: Hadoop Distributed File System (HDFS)

• Architecture and design of HDFS.
• Working with HDFS commands and file operations.
• Configuring and managing HDFS clusters.
• Data replication and fault tolerance in HDFS.
• Optimizing HDFS performance.

Module 3: MapReduce Programming

• Fundamentals of the MapReduce paradigm.
• Developing MapReduce jobs in Java.
• Implementing data transformations and aggregations.
• Optimizing MapReduce job performance.
• Understanding MapReduce input and output formats.

Module 4: Yet Another Resource Negotiator (YARN)

• Architecture and components of YARN.
• Managing resources with YARN.
• Configuring YARN schedulers.
• Understanding YARN application lifecycle.
• Optimizing YARN resource allocation.

Module 5: Hadoop Cluster Administration

• Installing and configuring Hadoop clusters.
• Managing Hadoop services and daemons.
• Monitoring Hadoop cluster health.
• Implementing security in Hadoop clusters.
• Troubleshooting Hadoop cluster issues.

Module 6: Hadoop Data Ingestion and Processing

• Using Sqoop for data ingestion from relational databases.
• Utilizing Flume for streaming data ingestion.
• Implementing data processing with Pig and Hive.
• Integrating Hadoop with other data sources.
• Best practices for data ingestion and processing.

Module 7: Hadoop Security and Governance

• Implementing authentication and authorization in Hadoop.
• Data encryption and access control.
• Auditing and compliance in Hadoop environments.
• Data governance and metadata management.
• Security best practices for Hadoop.

Module 8: Hadoop Performance Tuning and Optimization

• Optimizing HDFS performance.
• Tuning MapReduce and YARN jobs.
• Configuring Hadoop parameters for performance.
• Monitoring and analyzing Hadoop performance.
• Troubleshooting performance bottlenecks.

Module 9: Hadoop Ecosystem Tools and Technologies

• Exploring HBase for NoSQL data storage.
• Utilizing Spark for advanced data processing.
• Integrating Kafka for real-time data streaming.
• Using Oozie for workflow management.
• Overview of other Hadoop ecosystem tools.

Module 10: Hadoop High Availability and Disaster Recovery

• Implementing HDFS high availability.
• Configuring YARN high availability.
• Designing disaster recovery strategies for Hadoop.
• Implementing backup and recovery procedures.
• Ensuring data durability and availability.

Module 11: Hadoop Monitoring and Management

• Utilizing Hadoop monitoring tools.
• Implementing alerting and notifications.
• Analyzing Hadoop logs and metrics.
• Using Ambari and Cloudera Manager.
• Best practices for Hadoop monitoring.

Module 12: Advanced HDFS and YARN Techniques

• Advanced HDFS configurations and features.
• Implementing custom YARN schedulers.
• Utilizing HDFS federation and security zones.
• Advanced resource management in YARN.
• Advanced techniques for data locality.

Module 13: Advanced MapReduce and Data Processing

• Implementing complex MapReduce patterns.
• Utilizing MapReduce libraries and frameworks.
• Advanced data partitioning and sorting.
• Implementing custom input and output formats.
• Advanced techniques for data aggregation.

Module 14: Hadoop and Cloud Deployments

• Deploying Hadoop on cloud platforms.
• Managing cloud resources for Hadoop.
• Cloud-specific performance tuning.
• Security considerations for cloud deployments.
• Cost optimization for cloud based systems.

Module 15: Hadoop and Future Trends

• Emerging trends in the Hadoop ecosystem.
• Integrating Hadoop with AI and machine learning platforms.
• Advanced techniques for large-scale data processing.
• Advanced techniques for real time processing within Hadoop.
• Future of Hadoop in modern data architectures.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.