Data Engineering: Pipelines, ETL, Hadoop
Learn to build robust data pipelines, implement ETL processes, and master Hadoop ecosystem for large-scale data processing.
Learn to build robust data pipelines, implement ETL processes, and master Hadoop ecosystem for large-scale data processing.
This comprehensive course teaches data engineering fundamentals, focusing on building scalable data pipelines and ETL processes. Students learn to extract data from various sources, transform it effectively, and load it into data warehouses using industry-standard tools. The curriculum covers the Hadoop ecosystem, including HDFS, MapReduce, Hive, Pig, and Spark, preparing learners to handle big data challenges in real-world scenarios.
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What you'll learn
Analyse the architecture and components of data pipelines
Implement robust ETL processes for scalability
Analyze big data challenges using Hadoop ecosystem tools
Design and execute data processing solutions
Skills you'll gain
This course includes:
70 Minutes PreRecorded video
1 assignment,2 discussion prompts
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
This comprehensive data engineering course focuses on building robust data pipelines, implementing ETL processes, and mastering the Hadoop ecosystem. Students learn to analyze pipeline architecture, implement scalable ETL processes, and handle big data challenges. The curriculum covers essential Hadoop tools including HDFS, MapReduce, Hive, Pig, and Spark, providing hands-on experience in extracting, transforming, and loading data from various sources into data warehouses or big data platforms.
Data Engineering: Pipelines, ETL, Hadoop
Module 1 · 4 Hours to complete
Fee Structure
Instructors
Data Scientist and AI Research Scientist
Soheil Haddadi is a postdoctoral researcher specializing in Artificial Intelligence (AI) and machine learning, with a robust academic background in Control and Automation Systems Engineering. His expertise encompasses a wide range of areas, including data science, deep learning, natural language processing (NLP), and robotics. Soheil is committed to advancing the field of AI through innovative research and practical applications.He teaches several courses on Coursera, such as Fine-tuning Language Models for Business Tasks, GenAI for Data Scientists, and Data Engineering: Pipelines, ETL, Hadoop. These courses are designed to equip learners with the skills necessary to effectively utilize generative AI technologies and data engineering practices in various professional contexts.
Global Leaders in Professional & Technology Education
For decades, we at Starweaver have partnered with hundreds of the world’s leading organizations and reached millions of learners, delivering unparalleled professional education. Our global team of over 750 practitioners, instructional designers, producers, program managers and creative experts from six continents brings real-world experience and academic rigor to every program, ensuring learners build skills that are hands-on and practical while founded in intellectual and academic rigor. With unmatched expertise and a dynamic ability to inspire, our team is committed to shaping the future of work and equipping learners to thrive in today’s rapidly changing business and technology ecosystem.
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