Planning and Designing Databases on AWSPD-DBAWAmazon Web ServicesAW-PD-DB2<ul>
<li>Anwenden von Datenbankkonzepten, Datenbankmanagement und Methoden zur Datenmodellierung</li><li>Evaluieren des Hostings von Datenbanken auf Amazon EC2-Instances</li><li>Evaluieren relationaler AWS-Datenbankservices und ihrer Funktionen (Amazon RDS, Amazon Aurora und Amazon Redshift)</li><li>Evaluieren nicht-relationaler AWS-Datenbankservices und ihrer Funktionen (Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune und Amazon QLDB)</li><li>Und vieles mehr</li></ul><ul>
<li>Kenntnisse der AWS-Datenbankservices, die der digitalen Schulung AWS-Datenbankangebote entsprechen</li><li>Verständnis von Datenbankdesignkonzepten und/oder Datenmodellierung für relationale oder nicht-relationale Datenbanken</li><li>Verständnis von Cloud Computing-Konzepten</li><li>Verständnis allgemeiner Netzwerkkonzepte und Verschlüsselungkonzepte</li><li>Verständnis der drei Vs für Daten (Volume, Velocity und Variety)</li></ul><ul>
<li>Dateningenieure</li><li>Lösungsarchitekten</li><li>Entwickler</li><li>IT-Fachleute</li></ul><ul>
<li>Course Introduction</li><li>AWS Purpose-Built Databases</li><li>Amazon Relational Database Service (Amazon RDS)</li><li>Amazon Aurora</li><li>Amazon DynamoDB</li><li>Amazon Keyspaces (for Apache Cassandra)</li><li>Amazon DocumentDB (with MongoDB compatibility)</li><li>Amazon Quantum Ledger Database (Amazon QLDB)</li><li>Amazon Neptune</li><li>Amazon Timestream</li><li>Amazon ElastiCache</li><li>Amazon MemoryDB for Redis</li><li>Amazon Redshift</li><li>Tools for Working with AWS Databases</li></ul><h4>Day 1</h4><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><h4>Day 2</h4><p>Class Activity 1: Choose the Right Relational Database</p>
<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><p>Class Activity 2: Choose the Right Nonrelational Database</p>
<p>Challenge Lab 2: Working with Amazon DynamoDB Tables</p>
<h4>Day 3</h4><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><p>Class Activity 3: Let’s Cache In</p>
<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><p>Class Activity 4: Overall Picture</p>
<p>Challenge Lab 3: Working with Amazon Redshift clusters</p>- Anwenden von Datenbankkonzepten, Datenbankmanagement und Methoden zur Datenmodellierung
- Evaluieren des Hostings von Datenbanken auf Amazon EC2-Instances
- Evaluieren relationaler AWS-Datenbankservices und ihrer Funktionen (Amazon RDS, Amazon Aurora und Amazon Redshift)
- Evaluieren nicht-relationaler AWS-Datenbankservices und ihrer Funktionen (Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune und Amazon QLDB)
- Und vieles mehr- Kenntnisse der AWS-Datenbankservices, die der digitalen Schulung AWS-Datenbankangebote entsprechen
- Verständnis von Datenbankdesignkonzepten und/oder Datenmodellierung für relationale oder nicht-relationale Datenbanken
- Verständnis von Cloud Computing-Konzepten
- Verständnis allgemeiner Netzwerkkonzepte und Verschlüsselungkonzepte
- Verständnis der drei Vs für Daten (Volume, Velocity und Variety)- Dateningenieure
- Lösungsarchitekten
- Entwickler
- IT-Fachleute- Course Introduction
- AWS Purpose-Built Databases
- Amazon Relational Database Service (Amazon RDS)
- Amazon Aurora
- Amazon DynamoDB
- Amazon Keyspaces (for Apache Cassandra)
- Amazon DocumentDB (with MongoDB compatibility)
- Amazon Quantum Ledger Database (Amazon QLDB)
- Amazon Neptune
- Amazon Timestream
- Amazon ElastiCache
- Amazon MemoryDB for Redis
- Amazon Redshift
- Tools for Working with AWS DatabasesDay 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 Tage1485.001485.001395.001395.001395.001485.001485.001995.001795.001800.001795.006230.001995.001995.002195.001995.002510.005200.002470.00