{"course":{"productid":21622,"modality":1,"active":true,"language":"de","title":"Planning and Designing Databases on AWS","productcode":"PD-DB","vendorcode":"AW","vendorname":"Amazon Web Services","fullproductcode":"AW-PD-DB","courseware":{"has_ekit":true,"has_printkit":false,"language":"en"},"url":"https:\/\/portal.flane.ch\/course\/amazon-pd-db","objective":"<ul>\n<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>","essentials":"<ul>\n<li>Kenntnisse der AWS-Datenbankservices, die der digitalen Schulung AWS-Datenbankangebote entsprechen<\/li><li>Verst&auml;ndnis von Datenbankdesignkonzepten und\/oder Datenmodellierung f&uuml;r relationale oder nicht-relationale Datenbanken<\/li><li>Verst&auml;ndnis von Cloud Computing-Konzepten<\/li><li>Verst&auml;ndnis allgemeiner Netzwerkkonzepte und Verschl&uuml;sselungkonzepte<\/li><li>Verst&auml;ndnis der drei Vs f&uuml;r Daten (Volume, Velocity und Variety)<\/li><\/ul>","audience":"<ul>\n<li>Dateningenieure<\/li><li>L&ouml;sungsarchitekten<\/li><li>Entwickler<\/li><li>IT-Fachleute<\/li><\/ul>","contents":"<ul>\n<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>","outline":"<h4>Day 1<\/h4><h5>Module 0: Course Introduction<\/h5><ul>\n<li>Course overview<\/li><\/ul><h5>Module 1: AWS Purpose-Built Databases<\/h5><ul>\n<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>\n<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>\n<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>\n<h5>Module 4: Amazon DynamoDB<\/h5><ul>\n<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>\n<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>\n<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>\n<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>\n<p>Challenge Lab 2: Working with Amazon DynamoDB Tables<\/p>\n<h4>Day 3<\/h4><h5>Module 8: Amazon Neptune<\/h5><ul>\n<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>\n<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>\n<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>\n<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&rsquo;s Cache In<\/p>\n<h5>Module 12: Amazon Redshift<\/h5><ul>\n<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>\n<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>\n<p>Challenge Lab 3: Working with Amazon Redshift clusters<\/p>","summary":"<p>In diesem Kurs erlernen Sie den Prozess der Planung und Gestaltung von relationalen und nicht-relationalen AWS-Datenbanken. Sie lernen, wie Sie anhand von Workload-Anforderungen &Uuml;berlegungen zum Datenbankdesign anstellen k&ouml;nnen, und lernen die Funktionen und M&ouml;glichkeiten der acht AWS-Datenbankservices kennen. Nach Abschluss des Kurses k&ouml;nnen Sie bestimmen, welcher AWS-Datenbankservice f&uuml;r Ihre Workloads geeignet ist, und k&ouml;nnen die Datenbank gem&auml;ss Ihren Anforderungen gestalten.<\/p>","objective_plain":"- Anwenden von Datenbankkonzepten, Datenbankmanagement und Methoden zur Datenmodellierung\n- Evaluieren des Hostings von Datenbanken auf Amazon EC2-Instances\n- Evaluieren relationaler AWS-Datenbankservices und ihrer Funktionen (Amazon RDS, Amazon Aurora und Amazon Redshift)\n- Evaluieren nicht-relationaler AWS-Datenbankservices und ihrer Funktionen (Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune und Amazon QLDB)\n- Und vieles mehr","essentials_plain":"- Kenntnisse der AWS-Datenbankservices, die der digitalen Schulung AWS-Datenbankangebote entsprechen\n- Verst\u00e4ndnis von Datenbankdesignkonzepten und\/oder Datenmodellierung f\u00fcr relationale oder nicht-relationale Datenbanken\n- Verst\u00e4ndnis von Cloud Computing-Konzepten\n- Verst\u00e4ndnis allgemeiner Netzwerkkonzepte und Verschl\u00fcsselungkonzepte\n- Verst\u00e4ndnis der drei Vs f\u00fcr Daten (Volume, Velocity und Variety)","audience_plain":"- Dateningenieure\n- L\u00f6sungsarchitekten\n- Entwickler\n- IT-Fachleute","contents_plain":"- Course Introduction\n- AWS Purpose-Built Databases\n- Amazon Relational Database Service (Amazon RDS)\n- Amazon Aurora\n- Amazon DynamoDB\n- Amazon Keyspaces (for Apache Cassandra)\n- Amazon DocumentDB (with MongoDB compatibility)\n- Amazon Quantum Ledger Database (Amazon QLDB)\n- Amazon Neptune\n- Amazon Timestream\n- Amazon ElastiCache\n- Amazon MemoryDB for Redis\n- Amazon Redshift\n- Tools for Working with AWS Databases","outline_plain":"Day 1\n\nModule 0: Course Introduction\n\n\n- Course overview\nModule 1: AWS Purpose-Built Databases\n\n\n- Discussing well-architected databases\n- Analyzing workload requirements\n- Choosing the data model\n- Choosing the right purpose-built database\n- Knowledge check\nModule 2: Amazon Relational Database Service (Amazon RDS)\n\n\n- Discussing a relational database\n- What is Amazon RDS?\n- Why Amazon RDS?\n- Amazon RDS design considerations\n- Knowledge check\nModule 3: Amazon Aurora\n\n\n- What is Amazon Aurora?\n- Why Amazon Aurora?\n- Aurora design considerations\n- Knowledge check\nChallenge Lab 1: Working with Amazon Aurora databases\n\nDay 2\n\nClass Activity 1: Choose the Right Relational Database\n\nModule 4: Amazon DynamoDB\n\n\n- Discussing a key value database\n- What is DynamoDB?\n- Why DynamoDB?\n- DynamoDB design considerations\n- Knowledge check\nModule 5: Amazon Keyspaces (for Apache Cassandra)\n\n\n- Discussing a wide-column database\n- What is Apache Cassandra?\n- What is Amazon Keyspaces?\n- Why Amazon Keyspaces?\n- Amazon Keyspaces design considerations\n- Knowledge check\nModule 6: Amazon DocumentDB (with MongoDB compatibility)\n\n\n- Discussing a document database\n- What is Amazon DocumentDB?\n- Why Amazon DocumentDB?\n- Amazon DocumentDB design considerations\n- Knowledge check\nModule 7: Amazon Quantum Ledger Database (Amazon QLDB)\n\n\n- Discussing a ledger database\n- What is Amazon QLDB?\n- Why Amazon QLDB?\n- Amazon QLDB design considerations\n- Knowledge check\nClass Activity 2: Choose the Right Nonrelational Database\n\nChallenge Lab 2: Working with Amazon DynamoDB Tables\n\nDay 3\n\nModule 8: Amazon Neptune\n\n\n- Discussing a graph database\n- What is Amazon Neptune?\n- Why Amazon Neptune?\n- Amazon Neptune design considerations\n- Knowledge check\nModule 9: Amazon Timestream\n\n\n- Discussing a timeseries database\n- What is Amazon Timestream?\n- Why Amazon Timestream?\n- Amazon Timestream design considerations\n- Knowledge check\nModule 10: Amazon ElastiCache\n\n\n- Discussing an in-memory database\n- What is ElastiCache?\n- Why ElastiCache?\n- ElastiCache design considerations\n- Knowledge check\nModule 11: Amazon MemoryDB for Redis\n\n\n- What is Amazon MemoryDB (for Redis)?\n- Why Amazon MemoryDB?\n- Amazon MemoryDB design considerations\n- Knowledge check\nClass Activity 3: Let\u2019s Cache In\n\nModule 12: Amazon Redshift\n\n\n- Discussing a data warehouse\n- What is Amazon Redshift?\n- Why Amazon Redshift?\n- Amazon Redshift design considerations\n- Knowledge check\nModule 13: Tools for Working with AWS Databases\n\n\n- Data access and analysis with Amazon Athena\n- Data migration with SCT and DMS\nClass Activity 4: Overall Picture\n\nChallenge Lab 3: Working with Amazon Redshift clusters","summary_plain":"In diesem Kurs erlernen Sie den Prozess der Planung und Gestaltung von relationalen und nicht-relationalen AWS-Datenbanken. Sie lernen, wie Sie anhand von Workload-Anforderungen \u00dcberlegungen zum Datenbankdesign anstellen k\u00f6nnen, und lernen die Funktionen und M\u00f6glichkeiten der acht AWS-Datenbankservices kennen. Nach Abschluss des Kurses k\u00f6nnen Sie bestimmen, welcher AWS-Datenbankservice f\u00fcr Ihre Workloads geeignet ist, und k\u00f6nnen die Datenbank gem\u00e4ss Ihren Anforderungen gestalten.","skill_level":"Intermediate","version":"2","duration":{"unit":"d","value":3,"formatted":"3 Tage"},"pricelist":{"List Price":{"CO":{"country":"CO","currency":"USD","taxrate":16,"price":1485},"BR":{"country":"BR","currency":"USD","taxrate":null,"price":1485},"AR":{"country":"AR","currency":"USD","taxrate":21,"price":1395},"CL":{"country":"CL","currency":"USD","taxrate":19,"price":1395},"PE":{"country":"PE","currency":"USD","taxrate":null,"price":1395},"CR":{"country":"CR","currency":"USD","taxrate":13,"price":1485},"MX":{"country":"MX","currency":"USD","taxrate":null,"price":1485},"SI":{"country":"SI","currency":"EUR","taxrate":20,"price":1995},"SE":{"country":"SE","currency":"EUR","taxrate":25,"price":1795},"AE":{"country":"AE","currency":"USD","taxrate":5,"price":1800},"AT":{"country":"AT","currency":"EUR","taxrate":20,"price":1795},"IL":{"country":"IL","currency":"ILS","taxrate":17,"price":6230},"GR":{"country":"GR","currency":"EUR","taxrate":null,"price":1995},"MK":{"country":"MK","currency":"EUR","taxrate":null,"price":1995},"BE":{"country":"BE","currency":"EUR","taxrate":21,"price":2195},"HU":{"country":"HU","currency":"EUR","taxrate":20,"price":1995},"FR":{"country":"FR","currency":"EUR","taxrate":19.6,"price":2510},"PL":{"country":"PL","currency":"PLN","taxrate":23,"price":5200},"CH":{"country":"CH","currency":"CHF","taxrate":8.1,"price":2470}}},"lastchanged":"2026-03-11T14:53:45+01:00","parenturl":"https:\/\/portal.flane.ch\/swisscom\/json-courses","nexturl_course_schedule":"https:\/\/portal.flane.ch\/swisscom\/json-course-schedule\/21622","source_lang":"de","source":"https:\/\/portal.flane.ch\/swisscom\/json-course\/amazon-pd-db"}}