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Planning and Designing Databases on AWS
EDU Trainings s.r.o.
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In this course, you will learn about the process of planning and designing both relational and nonrelational AWS databases. It will teach you how to use workload requirements to define database design considerations and also explore the features and capabilities of the eight AWS database services. By the end of the course, you will be able to determine which AWS database service is right for your workloads, and design the database to meet your requirements. This course is designed to teach you how to:
Apply database concepts, database management, and data modeling techniques
Evaluate hosting databases on Amazon EC2 instances
Evaluate relational AWS database services and their features (Amazon RDS, Amazon Aurora, and Amazon Redshift)
Evaluate nonrelational AWS database services and their features (Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB)
Examine how the design criteria apply to each service
Apply management principles based on the unique features of each service
Apply database concepts, database management, and data modeling techniques
Evaluate hosting databases on Amazon EC2 instances
Evaluate relational AWS database services and their features (Amazon RDS, Amazon Aurora, and Amazon Redshift)
Evaluate nonrelational AWS database services and their features (Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB)
Examine how the design criteria apply to each service
Apply management principles based on the unique features of each service
Obsah kurzu
Day OneModule 1: Database concepts and general guidelines
Databases in the cloud
Database design principles
Transactional compliance
Module 2: Database planning and design
Workload requirements
Design considerations
Module 3: Databases on Amazon EC2
Amazon EC2 for hosting databases
Module 4: Purpose-built databases databases on Amazon EC2 and Amazon RDS
The journey to AWS
Data modeling basics
Module 5: Amazon RDS
Amazon RDS overview
Amazon RDS distinguishing features
Amazon RDS design considerations
Hands-on Lab: working with Amazon RDS databases
Module 6: Amazon Aurora
Amazon Aurora overview
Amazon Aurora distinguishing features
Amazon Aurora design considerations
Day Two
Module 6: Amazon Aurora (continued)
Hands-on Lab: working with Amazon Aurora databases
Module 7: Amazon DocumentDB (with MongoDB compatibility)
Amazon DocumentDB overview
Amazon DocumentDB design considerations
Amazon DocumentDB distinguishing features
Hands-on Lab: working with Amazon DocumentDB databases
Module 8: Amazon DynamoDB
Amazon DynamoDB overview
Amazon DynamoDB data modeling
Amazon DynamoDB distinguishing features
Amazon DynamoDB design considerations
Hands-on Lab: working with Amazon DynamoDB
Day Three
Module 9: Databases in Amazon Neptune
Amazon Neptune overview
Amazon Neptune design considerations
Module 10: Databases in Amazon Quantum Ledger Database (Amazon QLDB)
Amazon QLDB overview
Amazon QLDB Design Considerations
Module 11: Databases in Amazon ElastiCache
Amazon ElastiCache overview
Amazon ElastiCache for Memcached
Amazon ElastiCache for Redis
Module 12: Data warehousing in Amazon Redshift
Amazon Redshift overview
Amazon Redshift distinguishing features
Amazon Redshift data modeling
Amazon Redshift design considerations
Hands-on Lab: working with Amazon Redshift Clusters
Module 13: Course Overview
Cieľová skupina
Data Engineers who are new to designing cloud databases or nonrelational databasesSolutions Architects who are designing services or architectures that are integrated with databases
Developers that are building cloud database-enabled applications
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