[{"data":1,"prerenderedAt":51},["ShallowReactive",2],{"workflow-sfn-iot-data-analytics-dataset":3},{"id":4,"title":5,"cleanup":6,"contributors":10,"deploy":12,"description":15,"diagram":16,"extension":17,"framework":18,"gitHub":19,"introBox":28,"level":32,"meta":33,"resources":34,"s3URL":37,"services":38,"simplicity":42,"stem":43,"testing":44,"type":48,"usecase":49,"videoId":27,"__hash__":50},"workflows\u002Fworkflows\u002Fsfn-iot-data-analytics-dataset.json","Iot Analytics Dataset Generation",{"headline":7,"text":8},"Cleanup",[9],"delete the stack \u003Ccode>cdk destroy\u003C\u002Fcode>",[11],"content\u002Fcontributors\u002Fdarius-seroka.json",{"text":13},[14],"cdk deploy","This workflow uses the callback pattern and Distributed Map to create a IoT analytics pipeline.","\u002Fassets\u002Fimages\u002Fworkflows\u002Fsfn-iot-data-analytics-dataset.png","json","AWS CDK",{"template":20,"payloads":25},{"repoURL":21,"templateDir":22,"templateFile":23,"ASL":24},"https:\u002F\u002Fgithub.com\u002Faws-samples\u002Fstep-functions-workflows-collection\u002Ftree\u002Fmain\u002Fsfn-iot-data-analytics-dataset\u002F","sfn-iot-data-analytics-dataset","lib\u002Fsfn_iot_analyzer-stack.ts","statemachine\u002Fstatemachine.asl.json",[26],{"headline":27,"payloadURL":27},"",{"headline":29,"text":30},"How it works",[31],"The Step Functions workflow creates a sample dataset of wind turbine power readings and distributes them into a pipeline configured with CDK. The Step Functions workflow then creates a dataset that summarizes average power readings per wind turbine. This summary is then written out to DynamoDB.","200",{},{"headline":35,"bullets":36},"Additional resources",[],null,[39,40,41],"iot","dynamodb","lambda","3 - Application","workflows\u002Fsfn-iot-data-analytics-dataset",{"headline":45,"text":46},"Testing",[47],"See the GitHub repo for detailed testing instructions.","Standard","IoT","HS3fZkYin6Bv2sIHXQAyexgjiucAdzMrez1iL9sk80M",1778846889512]