AWS: Storage Systems and Data Management
- Offered byCoursera
- Public/Government Institute
AWS: Storage Systems and Data Management at Coursera Overview
Duration | 7 hours |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
AWS: Storage Systems and Data Management 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 2 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. 7 hours to complete
- English Subtitles: English
AWS: Storage Systems and Data Management at Coursera Course details
- AWS: Storage Systems and Data Management Course is the second course of AWS Certified Data Analytics Specialty Specialization. This course assists learners with knowledge of storage components with operational storage services. The concept of Implementation of DynamoDB Operational Characteristics and Redshift is also described in this course. Learners will be able to Analyze various approaches for Management of data. This course is basically 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: Operational Characteristics of Storage Solutions for Data Analytics in AWS
- Module 2: AWS: Storage Components and Data Management approaches
- Module 3: Advanced Features: Storage Systems and Data Management in AWS
AWS: Storage Systems and Data Management at Coursera Curriculum
Operational Characteristics of Storage Solutions for Data Analytics in AWS
Introduction to storage and data management
Determine the operational characteristics of the storage solution for analytics Part 1
Determine the operational characteristics of the storage solution for analytics Part 2
DynamoDB operational characteristics Part 1
DynamoDB operational characteristics Part 2
DynamoDB operational characteristics lab - part 1
DynamoDB operational characteristics lab - part 2
Introduction to Redshift
Redshift Lab
Course Outline
Welcome to the Course
Operational Characteristics of Storage Solutions for Data Analytics in AWS Overview
Introduction to storage and data management Knowledge Test
DynamoDB operational characteristics and Redshift Knowledge Test
Week 1- Assessment
AWS: Storage Components and Data Management approaches
Determine data freshness, access and retrieval patterns Part 1
Determine data freshness, access and retrieval patterns Part 2
Data warehouse versus data lake
Redshift data storage and retrieval patterns Part 1
Redshift data storage and retrieval patterns Part 2
Redshift storage and retrieval patterns lab
Select appropriate data layout, schema, structure, and format Part 1
Select appropriate data layout, schema, structure, and format Part 2
AWS: Storage Components and Data Management approaches Overview
Different approaches to data Management Knowledge Test
Lesson 2- Knowledge Test
Week 2 - Assessment
Advanced Features: Storage Systems and Data Management in AWS
Define data lifecycle based on usage patterns and business requirements Part 1
Define data lifecycle based on usage patterns and business requirements Part 2
Determine the appropriate system for cataloging data and managing metadata
Populating Glue data catalog
Populating Glue data catalog lab
Domain summary Part 1
Domain summary Part 2
Advance features Overview
Key Takeaways of the course
Course Conclusion
Redshift data storage and retrieval patterns Knowledge Test
Week 3- Assessment
Course Assessment Quiz
Other courses offered by Coursera
Student Forum
Anything you would want to ask experts?