Course 40502C: Microsoft Cloud Workshop: Big Data & Visualization
Complete a web app using Machine Learning to predict travel delays given flight delay data and weather conditions. Plan the bulk data import operation, followed by preparation, such as cleaning and manipulating the data ...Complete a web app using Machine Learning to predict travel delays given flight delay data and weather conditions. Plan the bulk data import operation, followed by preparation, such as cleaning and manipulating the data for testing, and training your Machine Learning model.Show MoreCourse Prerequisites: Workshop content presumes 300-level of architectural expertise of infrastructure and solutions design. We sugg...Workshop content presumes 300-level of architectural expertise of infrastructure and solutions design. We suggest students take this prerequisite prior to attending this workshop.Show MoreRequest a Quote
Instructor-Led Training (ILT)
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Duration 1 Day
SATV Eligible Yes
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Module 1: Whiteboard Design Session – Big Data and Visualization
Review the customer case study
Design a proof of concept solution
Present the solution
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Module 2: Hands-On Lab – Big Data and Visualization
Build a Machine Learning Model
Setup Azure Data Factory
Develop a data factory pipeline for data movement
Operationalize ML scoring with Azure ML and Data Factory
Summarize data using HDInsight Spark
Visualizing in Power BI Desktop
Deploy intelligent web app
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At course completion
Students will be better able to build a complete Azure Machine Learning (ML) model for predicting if an upcoming flight will experience delays. In addition,
Integrate the Azure ML web service in a Web App for both one at a time and batch predictions
Analyze batch data with SQL Data Warehouse
Visualize batch predictions on a map using Power BI
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CTU Training Solutions, Updated: August 2nd, 2018
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