PD-DBAWAmazon Web ServicesAW-PD-DB2<p>In this course, you will learn how to do the following: </p> <ul> <li>Summarize the AWS Well-Architected Framework for designing database solutions.</li><li>Choose an appropriate purpose-built database service for a given workload.</li><li>Design a relational database solution to solve a business problem.</li><li>Design a NoSQL database solution to solve a business problem.</li><li>Analyze data from multiple databases to solve a business problem.</li><li>Discuss the security considerations for your database solution.</li></ul><p>We recommend the following prerequisites for attendees of this course: </p> <ul> <li>Familiarity with AWS database services</li><li>Understanding of database design concepts and/or data modeling for relational or nonrelational databases</li><li>Familiarity with cloud computing concepts</li><li>Familiarity with general networking and encryption concepts</li><li>Completion of the digital course Introduction to Building with AWS Databases</li></ul><p>This course is intended for learners in the following roles: </p> <ul> <li>Solutions architects</li><li>Database architects</li><li>Developers</li></ul><p><strong>Day 1</strong></p> <h5>Module 0: Course Introduction</h5><ul> <li>Course overview</li></ul><h5>Module 1: AWS Purpose-Built Databases</h5><ul> <li>Discussing well-architected databases</li><li>Analyzing workload requirements</li><li>Choosing the data model</li><li>Choosing the right purpose-built database</li><li>Knowledge check</li></ul><h5>Module 2: Amazon Relational Database Service (Amazon RDS)</h5><ul> <li>Discussing a relational database</li><li>What is Amazon RDS?</li><li>Why Amazon RDS?</li><li>Amazon RDS design considerations</li><li>Knowledge check</li></ul><h5>Module 3: Amazon Aurora</h5><ul> <li>What is Amazon Aurora?</li><li>Why Amazon Aurora?</li><li>Aurora design considerations</li><li>Knowledge check</li></ul><h5>Challenge Lab 1: Working with Amazon Aurora databases</h5><p><strong>Day 2</strong></p> <h5>Class Activity 1: Choose the Right Relational Database</h5><h5>Module 4: Amazon DynamoDB</h5><ul> <li>Discussing a key value database</li><li>What is DynamoDB?</li><li>Why DynamoDB?</li><li>DynamoDB design considerations</li><li>Knowledge check</li></ul><h5>Module 5: Amazon Keyspaces (for Apache Cassandra)</h5><ul> <li>Discussing a wide-column database</li><li>What is Apache Cassandra?</li><li>What is Amazon Keyspaces?</li><li>Why Amazon Keyspaces?</li><li>Amazon Keyspaces design considerations</li><li>Knowledge check</li></ul><h5>Module 6: Amazon DocumentDB (with MongoDB compatibility)</h5><ul> <li>Discussing a document database</li><li>What is Amazon DocumentDB?</li><li>Why Amazon DocumentDB?</li><li>Amazon DocumentDB design considerations</li><li>Knowledge check</li></ul><h5>Module 7: Amazon Quantum Ledger Database (Amazon QLDB)</h5><ul> <li>Discussing a ledger database</li><li>What is Amazon QLDB?</li><li>Why Amazon QLDB?</li><li>Amazon QLDB design considerations</li><li>Knowledge check</li></ul><h5>Class Activity 2: Choose the Right Nonrelational Database</h5><h5>Challenge Lab 2: Working with Amazon DynamoDB Tables</h5><p><strong>Day 3</strong></p> <h5>Module 8: Amazon Neptune</h5><ul> <li>Discussing a graph database</li><li>What is Amazon Neptune?</li><li>Why Amazon Neptune?</li><li>Amazon Neptune design considerations</li><li>Knowledge check</li></ul><h5>Module 9: Amazon Timestream</h5><ul> <li>Discussing a timeseries database</li><li>What is Amazon Timestream?</li><li>Why Amazon Timestream?</li><li>Amazon Timestream design considerations</li><li>Knowledge check</li></ul><h5>Module 10: Amazon ElastiCache</h5><ul> <li>Discussing an in-memory database</li><li>What is ElastiCache?</li><li>Why ElastiCache?</li><li>ElastiCache design considerations</li><li>Knowledge check</li></ul><h5>Module 11: Amazon MemoryDB for Redis</h5><ul> <li>What is Amazon MemoryDB (for Redis)?</li><li>Why Amazon MemoryDB?</li><li>Amazon MemoryDB design considerations</li><li>Knowledge check</li></ul><h5>Class Activity 3: Let&rsquo;s Cache In</h5><h5>Module 12: Amazon Redshift</h5><ul> <li>Discussing a data warehouse</li><li>What is Amazon Redshift?</li><li>Why Amazon Redshift?</li><li>Amazon Redshift design considerations</li><li>Knowledge check</li></ul><h5>Module 13: Tools for Working with AWS Databases</h5><ul> <li>Data access and analysis with Amazon Athena</li><li>Data migration with SCT and DMS</li></ul><h5>Class Activity 4: Overall Picture</h5><h5>Challenge Lab 3: Working with Amazon Redshift clusters</h5>In this course, you will learn how to do the following: - Summarize the AWS Well-Architected Framework for designing database solutions. - Choose an appropriate purpose-built database service for a given workload. - 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 the security considerations for your database solution.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 DatabasesThis course is intended for learners in the following roles: - Solutions architects - Database architects - DevelopersDay 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 clusters3 jours1485.001485.001395.001395.001395.001485.001485.001995.001795.001800.001795.006230.001995.001995.002195.001995.002510.005200.002470.00