Describe when and why to use the Time Series Insights and Power BI data visualization tools
Install and configure Time Series Insights
Connect Time Series Insights with IoT Hub and Event Hub
Configure data retention and create a reference data set
Build dashboards and heat maps
Scale the environment and manage resources using templates
Transform Data using Power BI Desktop
Model data using the Power BI Desktop
Visualize data using the Power BI Desktop
Create a Dashboard using the Power BI Service
Configure Organization Packs, Security and Groups
Get your IoT hub ready for data access by adding a consumer group
Create, configure, and run a Stream Analytics job for data transfer from your IoT hub to your Power BI account
Create and publish a Power BI report to visualize the data
Are you ready to create data visualization reports that help you to discover hidden trends in your business data? Do you want to get up-to-speed on the latest tools?
This course guides students through a series of lab activities that provide hands-on experience querying and visualizing data. After completing this course, students will be able to construct IoT data visualizations that allow a business to gain insights related to its operations.
The first module examines the characteristics of time series data – how it can be used for analysis and prediction. It specifically walks the student through how IoT telemetry data is typically generated as time series data and techniques for managing and analyzing it with Azure Time Series Insights.
Module two takes a closer look at specific features of Azure Time Series Insights – how it can be used to store, analyze and instantly query massive amounts of time series data.
In the third module, students get a general introduction to using Power BI, with specific emphasis on how Power BI can load, transform and visualize IoT data sets.
In the final module, students will move from using BI with static IoT data sets to working with real time streaming IoT data. Students use Azure Stream Analytics as a data source for Power BI and explore the unique capabilities and insights that provides.
This course is completely lab-based. There are no lectures or required reading sections. All of the learning content that you will need is embedded directly into the labs, right where and when you need it. Introductions to tools and technologies, references to additional content, video demonstrations, and code explanations are all built into the labs.Some assessment questions will be presented during the labs. These questions will help you to prepare for the final assessment.The course includes four modules, each of which contains two or more lab activities. The lab outline is provided below.Module 1: Time Series Data
Lab 1: Introducing Time Series Insights
Lab 2: Producing Simulated Data
Lab 3: Provisioning Time Series Insights
Lab 4: Analysis with Time Series Insights
Module 2: Visualizing and Querying Data
Lab 1: Setting Up Data Generation
Lab 2: Using Time Series Analysis Patterns
Lab 3: Using Advanced TSI Features
Lab 4: Managing Time Series Insights
Module 3: Power BI and IoT
Lab 1: Introducing Power BI
Lab 2: Transforming Data
Lab 3: Modeling Data
Lab 4: Visualizing Data
Module 4: Streaming with Power BI
Lab 1: Using Power BI with Streaming Data
Lab 2: Configuring Power BI
Lab 3: Using Power BI in an IoT architecture
Lab 4: Sharing Power BI Dashboards
Before starting this course, students should understand the following:
IoT terminology and business goals
Data analytics tools and techniques
Modern software development tools