40502G - Microsoft Cloud Workshop: Big Data & Visualization

Overview

Duration: 1 day

In this workshop, you will deploy a web app using Machine Learning (ML) to predict travel delays given flight delay data and weather conditions. Plan a bulk data import operation, followed by preparation, such as cleaning and manipulating the data for testing, and training your Machine Learning model.

Objectives

At the end of this workshop, you will be better able to build a complete machine learning model in Azure Databricks for predicting if an upcoming flight will experience delays. In addition, you will learn to store the trained model in Azure Machine Learning Model Management, then deploy to Docker containers for scalable on-demand predictions, use Azure Data Factory (ADF) for data movement and operationalizing ML scoring, summarize data with Azure Databricks and Spark SQL, and visualize batch predictions on a map using Power BI.

Audience

This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the ‘About this Course’ and ‘At Course Completion’ areas. Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.

Content

Module 1: Whiteboard Design Session - Big Data and Visualization

Lessons

Review the customer case study
Design a proof of concept solution
Present the solution

Module 2: Hands-On Lab - Big Data and Visualization

Lessons

Build a Machine Learning Model
Setup Azure Data Factory
Deploy your machine learning model with Azure ML
Develop a data factory pipeline for data movement
Operationalize ML scoring with Azure Databricks and Data Factory
Summarize data using Azure Databricks
Visualizing in Power BI Desktop
Deploy intelligent web app

Prerequisites

N/A

Certification

This course is not associated with any Certification.

Schedule

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