AWS: Storage Systems and Data Management (Coursera)

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
This course is part of the Exam Prep DAS-C01: AWS Certified Data Analytics Specialty Specialization.

What You Will Learn

• Describe storage components with operational storage services
• Implement DynamoDB Operational Characteristics and Redshift
• Analyze various approaches for Management of data.

Syllabus

Operational Characteristics of Storage Solutions for Data Analytics in AWS
Welcome to Week 1 of the AWS: Storage Systems and Data Management Course. This week, we’ll analyze the operational characteristics of the storage solution for analytics. We’ll also gain demonstration of the operational characteristics of DynamoDB. We’ll end this week by understanding the working of Amazon Redshift service.

AWS: Storage Components and Data Management approaches
Welcome to Week 2 of the AWS: Storage Systems and Data Management Course. This week, we will learn how to determine data freshness, access, and retrieval patterns, and analyze Redshift data storage and retrieval patterns. We will also explore how to select the appropriate data layout, schema, structure, and format for Redshift. By the end of this week, we will be equipped with the knowledge and skills needed to effectively manage and analyze data using AWS storage systems.

Advanced Features: Storage Systems and Data Management in AWS
Welcome to Week 1 of the AWS: Storage Systems and Data Management Course. This week, we will focus on understanding the data lifecycle and determining the appropriate system for cataloging data and managing metadata. We will gain practical experience with the Glue data catalog, a metadata repository that makes it easy to discover and manage data assets. By the end of the week, we should have a good grasp of how to manage data effectively throughout its lifecycle and maximize its value to the organization.