Hands-On with Hadoop Ecosystem equips participants with practical skills in data engineering, focusing on the Hadoop framework and its ecosystem. The course emphasizes project-based learning, enabling attendees to engage in real-world applications of Hadoop technologies. Participants will gain insights into data storage, processing, and analysis, preparing them for roles in data engineering and analytics.
The curriculum is designed to provide a thorough understanding of Hadoop components, including HDFS, MapReduce, and Hive, while fostering hands-on experience through interactive projects. By the end of the program, learners will be able to construct data pipelines, optimize data workflows, and publish their findings in Cademix Magazine, enhancing their professional visibility and credibility in the field.
Introduction to Hadoop Ecosystem: Architecture and Components
Setting Up a Hadoop Environment: Installation and Configuration
Understanding HDFS: Data Storage and Management
MapReduce Fundamentals: Programming and Implementation
Utilizing Apache Hive for Data Warehousing
Data Ingestion Techniques: Apache Flume and Sqoop
Real-Time Data Processing with Apache Spark
Data Pipeline Creation: Best Practices and Tools
Performance Tuning and Optimization Strategies
Final Project: Building a Complete Data Pipeline using Hadoop Ecosystem