AWS-PDDA: Planning and Designing Databases on AWS
AWS-PDDA: Planning and Designing Databases on AWS
Objectives
In this course, you will learnhow to do the following:
- Summarize the AWS Well-Architected Framework for designing database solutions.
- Choose an appropriate purpose-built database service for a givenworkload.
- Design a relational database solution to solve a business problem.
- Design a NoSQL database solution to solve a business problem.
- Analyze data from multiple databases to solve a business problem.
- Discuss thesecurity considerations for your database solution.
Content
Day 1
Module 0: Course Introduction
- Course overview
Module 1: AWS Purpose-Built Databases
- Discussing well-architected databases
- Analyzing workload requirements
- Choosing the data model
- Choosing the right purpose-built database
- Knowledge check
Module 2: Amazon Relational Database Service (Amazon RDS)
- Discussing a relational database
- What is Amazon RDS?
- Why Amazon RDS?
- Amazon RDS design considerations
- Knowledge check
Module 3: Amazon Aurora
- What is Amazon Aurora?
- Why Amazon Aurora?
- Aurora design considerations
- Knowledge check
Challenge Lab 1: Working with Amazon Aurora databases
Day 2
Class Activity 1: Choose the Right Relational Database
Module 4: Amazon DynamoDB
- Discussing a key value database
- What is DynamoDB?
- Why DynamoDB?
- DynamoDB design considerations
- Knowledge check
Module 5: Amazon Keyspaces (for Apache Cassandra)
- Discussing a wide-column database
- What is Apache Cassandra?
- What is Amazon Keyspaces?
- Why Amazon Keyspaces?
- Amazon Keyspaces design considerations
- Knowledge check
Module 6: Amazon DocumentDB (with MongoDB compatibility)
- Discussing a document database
- What is Amazon DocumentDB?
- Why Amazon DocumentDB?
- Amazon DocumentDB design considerations
- Knowledge check
Module 7: Amazon Quantum Ledger Database (Amazon QLDB)
- Discussing a ledger database
- What is Amazon QLDB?
- Why Amazon QLDB?
- Amazon QLDB design considerations
- Knowledge check
Class Activity 2: Choose the Right Nonrelational Database
Challenge Lab 2: Working with Amazon DynamoDB Tables
Day 3
Module 8: Amazon Neptune
- Discussing a graph database
- What is Amazon Neptune?
- Why Amazon Neptune?
- Amazon Neptune design considerations
- Knowledge check
Module 9: Amazon Timestream
- Discussing a timeseries database
- What is Amazon Timestream?
- Why Amazon Timestream?
- Amazon Timestream design considerations
- Knowledge check
Module 10: Amazon ElastiCache
- Discussing an in-memory database
- What is ElastiCache?
- Why ElastiCache?
- ElastiCache design considerations
- Knowledge check
Module 11: Amazon MemoryDB for Redis
- What is Amazon MemoryDB (for Redis)?
- Why Amazon MemoryDB?
- Amazon MemoryDB design considerations
- Knowledge check
Class Activity 3: Let’s Cache In
Module 12: Amazon Redshift
- Discussing a data warehouse
- What is Amazon Redshift?
- Why Amazon Redshift?
- Amazon Redshift design considerations
- Knowledge check
Module 13: Tools for Working with AWS Databases
- Data access and analysis with Amazon Athena
- Data migration with SCT and DMS
Class Activity 4: Overall Picture
Challenge Lab 3: Working with Amazon Redshift clusters
Audience
This course is intended forlearners in the followingroles:
- Solutionsarchitects
- Database architects
- Developers
Prerequisites
We recommend the following prerequisites for attendees of this course:
- Familiarity with AWS database services
- Understanding of database design concepts and/or data modeling for relational or nonrelational databases
- Familiarity with cloud computing concepts
- Familiarity with general networking and encryption concepts
- Completion of the digital course Introduction to Building with AWS Database
Certification
Schedule
Lịch khai giảng
Form đăng ký
Các khóa đào tạo AWS khác
Cơ hội nhận ưu đãi học phí lên tới 60%
Đăng ký tư vấn
cùng đội ngũ chuyên gia Trainocate!!
Xác nhận gửi thành công
Cảm ơn bạn đã để lại thông tin.
Đội ngũ chuyên gia của Trainocate đang trong quá trình xác nhận thông tin và sẽ kết nối với bạn trong vòng 24 giờ.
Bản quyền thuộc về Trainocate Việt Nam