{"course":{"productid":29841,"modality":3,"active":true,"language":"fr","title":"Discovery Day- Fundamentals of a Modern Data Strategy on AWS","productcode":"AWSDD-FMDS","vendorcode":"AW","vendorname":"Amazon Web Services","fullproductcode":"AW-AWSDD-FMDS","courseware":{"has_ekit":true,"has_printkit":false,"language":""},"url":"https:\/\/portal.flane.ch\/course\/amazon-awsdd-fmds","objective":"<p>During this event, you will learn:<\/p>\n<ul>\n<li>How AWS services help you modernize, unify, and innovate your data infrastructure<\/li><li>How to use AWS services to provide secure and well-governed access to data<\/li><li>How to innovate with AI\/ML by harnessing your data with built-in ML<\/li><\/ul>","audience":"<p>This event is intended for:<\/p>\n<ul>\n<li>Data architects, data scientists, and data analysts new to the AWS Cloud<\/li><li>Solutions architects<\/li><li>Database administrators<\/li><\/ul>","outline":"<h5>Section 1: Introduction <\/h5><ul>\n<li>Business value of a modern data strategy<\/li><li>Challenges<\/li><li>Use cases<\/li><li>Traditional vs. cloud<\/li><li>Modern data strategy on AWS<\/li><\/ul><h5>Section 2: Modernize<\/h5><ul>\n<li>Relational databases<\/li><li>Purpose-built databases<\/li><\/ul><h5>Section 3: Unify<\/h5><ul>\n<li>Data lakes with Amazon S3<\/li><li>Lake house approach on AWS<\/li><li>Purpose-built data services<\/li><li>Breaking down data silos<\/li><li>Unified governance<\/li><\/ul><h5>Section 4: Innovate<\/h5><ul>\n<li>Machine learning (ML) services<\/li><li>Artificial intelligence (AI) services<\/li><li>Data stores, data lakes, and BI tools with built-in ML<\/li><\/ul><h5>Section 5: Next steps<\/h5><ul>\n<li>Resources to continue learning<\/li><\/ul>","summary":"<p>Organizations need a data strategy to succeed, but there&rsquo;s no one-size fits all approach. Every organization will have unique objectives and obstacles. Join this event to learn how to modernize, unify, and innovate your way to a modern data strategy with AWS.<\/p>\n<ul>\n<li>Level: Fundamental<\/li><li>Duration: 1.5 hours<\/li><\/ul><p>We recommend that attendees of this event continue learning with these:<\/p>\n<ul>\n<li>Courses\n<ul>\n<li><span class=\"cms-link-marked\"><a class=\"fl-href-prod\" href=\"\/swisscom\/fr\/course\/amazon-bdasar\"><svg role=\"img\" aria-hidden=\"true\" focusable=\"false\" data-nosnippet class=\"cms-linkmark\"><use xlink:href=\"\/css\/img\/icnset-linkmarks.svg#linkmark\"><\/use><\/svg>Building Data Analytics Solutions Using Amazon Redshift <span class=\"fl-prod-pcode\">(BDASAR)<\/span><\/a><\/span><\/li><li><span class=\"cms-link-marked\"><a class=\"fl-href-prod\" href=\"\/swisscom\/fr\/course\/amazon-bdla\"><svg role=\"img\" aria-hidden=\"true\" focusable=\"false\" data-nosnippet class=\"cms-linkmark\"><use xlink:href=\"\/css\/img\/icnset-linkmarks.svg#linkmark\"><\/use><\/svg>Building Data Lakes on AWS <span class=\"fl-prod-pcode\">(BDLA)<\/span><\/a><\/span><\/li><li><span class=\"cms-link-marked\"><a class=\"fl-href-prod\" href=\"\/swisscom\/fr\/course\/amazon-dwaws\"><svg role=\"img\" aria-hidden=\"true\" focusable=\"false\" data-nosnippet class=\"cms-linkmark\"><use xlink:href=\"\/css\/img\/icnset-linkmarks.svg#linkmark\"><\/use><\/svg>Data Warehousing on AWS <span class=\"fl-prod-pcode\">(DWAWS)<\/span><\/a><\/span><\/li><li><span class=\"cms-link-marked\"><a class=\"fl-href-prod\" href=\"\/swisscom\/fr\/course\/amazon-pd-db\"><svg role=\"img\" aria-hidden=\"true\" focusable=\"false\" data-nosnippet class=\"cms-linkmark\"><use xlink:href=\"\/css\/img\/icnset-linkmarks.svg#linkmark\"><\/use><\/svg>Planning and Designing Databases on AWS <span class=\"fl-prod-pcode\">(PD-DB)<\/span><\/a><\/span><\/li><\/ul><\/li><li>Resources\n<ul>\n<li>AWS Ramp-Up Guide: Data Analytics<\/li><li>AWS Ramp-Up Guide: Databases<\/li><\/ul><\/li><\/ul>","objective_plain":"During this event, you will learn:\n\n\n- How AWS services help you modernize, unify, and innovate your data infrastructure\n- How to use AWS services to provide secure and well-governed access to data\n- How to innovate with AI\/ML by harnessing your data with built-in ML","audience_plain":"This event is intended for:\n\n\n- Data architects, data scientists, and data analysts new to the AWS Cloud\n- Solutions architects\n- Database administrators","outline_plain":"Section 1: Introduction \n\n\n- Business value of a modern data strategy\n- Challenges\n- Use cases\n- Traditional vs. cloud\n- Modern data strategy on AWS\nSection 2: Modernize\n\n\n- Relational databases\n- Purpose-built databases\nSection 3: Unify\n\n\n- Data lakes with Amazon S3\n- Lake house approach on AWS\n- Purpose-built data services\n- Breaking down data silos\n- Unified governance\nSection 4: Innovate\n\n\n- Machine learning (ML) services\n- Artificial intelligence (AI) services\n- Data stores, data lakes, and BI tools with built-in ML\nSection 5: Next steps\n\n\n- Resources to continue learning","summary_plain":"Organizations need a data strategy to succeed, but there\u2019s no one-size fits all approach. Every organization will have unique objectives and obstacles. Join this event to learn how to modernize, unify, and innovate your way to a modern data strategy with AWS.\n\n\n- Level: Fundamental\n- Duration: 1.5 hours\nWe recommend that attendees of this event continue learning with these:\n\n\n- Courses\n\n- Building Data Analytics Solutions Using Amazon Redshift (BDASAR)\n- Building Data Lakes on AWS (BDLA)\n- Data Warehousing on AWS (DWAWS)\n- Planning and Designing Databases on AWS (PD-DB)\n- Resources\n\n- AWS Ramp-Up Guide: Data Analytics\n- AWS Ramp-Up Guide: Databases","version":"1.0","duration":{"unit":"d","value":0,"formatted":"2 heures"},"lastchanged":"2025-09-30T14:19:36+02:00","parenturl":"https:\/\/portal.flane.ch\/swisscom\/fr\/json-courses","nexturl_course_schedule":"https:\/\/portal.flane.ch\/swisscom\/fr\/json-course-schedule\/29841","source_lang":"fr","source":"https:\/\/portal.flane.ch\/swisscom\/fr\/json-course\/amazon-awsdd-fmds"}}