AWS Data Processing
- Offered byCoursera
- Public/Government Institute
AWS Data Processing at Coursera Overview
Duration | 6 hours |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
AWS Data Processing at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 3 of 5 in the Exam Prep DAS-C01: AWS Certified Data Analytics Specialty Specialization
- Beginner Level Experience of working with AWS services for designing, building, securing, and maintaining analytics solutions
- Approx. 6 hours to complete
- English Subtitles: English
AWS Data Processing at Coursera Course details
- AWS: Data Processing Course is the second course of AWS Certified Data Analytics Specialty Specialization. This course focuses on providing data processing solutions. The entire course is designed to teach learners the concept of EMR and Extract, Transform and Load. This course also put emphasis on ETL services and Data Processing solutions in AWS. The course is divided into three modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 3:30-4:00 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.
- Module 1: Introduction : Extract, Transform and Load Jobs
- Module 2: Introduction: EMR
- Module 3: ETL Services and Data Processing Solution in AWS
- It is recommended that folks should have experience of working with AWS services for designing, building, securing, and maintaining analytics solutions for understanding this course. By the end of this course, learners will be able to :
- -Analyze Modeling Concepts and train Machine Learning Models
- -Examine performance of machine learning models
- -Implement automatic model tuning by training a model
AWS Data Processing at Coursera Curriculum
Introduction : Extract, Transform and Load Jobs
Introduction to processing
Determine appropriate data processing solution requirements
Extract, Transform, Load (ETL) jobs
ETL lab
Course Outline
Welcome to the Course
Introduction : Extract, Transform and Load Jobs Overview
Introduction to Processing Knowledge Test
Week 1- Assessment
Introduction: EMR
Introduction to EMR Part 1
Introduction to EMR-Part 2
EMR lab Part 1
EMR Lab-Part 2
EMR applications (Spark, Hudi, Hbase, TensorFlow, Flink, Presto, Hue)
EMR applications lab
Design a solution for transforming and preparing data for analysis Part 1
Design a solution for transforming and preparing data for analysis Part 2
Introduction: EMR Overview
Amazon EMR Knowledge Test
Week 2- Assessment
ETL Services and Data Processing Solution in AWS
Batch versus Streaming ETL services
Automate and operationalize a data processing solution Part 1
Automate and operationalize a data processing solution Part 2
Operationalize data processing with Glue and EMR
Operationalize data processing with Glue and EMR lab - part 1
Operationalize data processing with Glue and EMR lab - part 2
Domain summary Part 1
Domain summary Part 2
ETL Services and Data Processing Solution in AWS Overview
Course Conclusion
Key Takeaways of the course
ETL Services Knowledge Test
Week 3- Assessment
Course Assessment Quiz
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