The last part of this video tutorial series includes three exercises. First, Exercise 6 uses Power BI Desktop, import the summary data from the Spark cluster and create a report with drag-n-drop to visualize the data. Exercise 7 is the exciting part, configures and deploys a sample web app and configures it to consume the predictive web service published in Exercise 1, followed by conducting a few simple tests. Finally, Exercise 8 shows how to clean up the deployed resources of the workshop.
Here you start.
Microsoft Cortana Intelligence Workshop encompasses a set of processes and supporting tools to architect, construct, package and deploy a predictive analytics solution. It is a friendly platform with no hardware to purchase, no software to configure. The workshop ultimately deploys a web application with a predictive analytics service. The app predicts the total number and the probability of flight delays between two cities based on date, time, carrier and real-time forecast weather information. It is a relative simple project, however includes all the essential components to formulate a modern and intelligent application.
Microsoft Cortana Intelligence Suite Workshop Video Tutorial Series by Yung Chou
- Introduction: Highlighting a few important items before doing
- Exercise 1: Building Azure Machine Learning model
- Exercises 2-4: Constructing a Data Factory pipeline
- Exercise 5: Working interactively with an Azure Spark cluster
- Exercises 6-8: Visualizing data and deploy a predictive web service
The workshop is intended to be delivered as a whole-day event with presentation sessions and lab time. On the other hand, within 75 minutes the above video tutorial series can also offer you an experience and guide you through all the screens and interactions to successfully deploy the web service.
The next step is to apply what learned from this series to your work. Good luck.