Big Data 2.0 - IoT as Your New Operational Data Source
A large part of the value provided by IoT deployments comes from data. However, getting this data into the existing data landscape is often overlooked. In this session, we will start by introducing what existing Big Data Solutions can be part of your data landscape. We will then look at how you can easily ingest IoT Data within traditional BI systems like Data warehouses or in Big Data stores like data lakes.
When our data is ingested, we see how your data analysts can gain new insights about your existing data by augmenting your Power BI reports with IoT Data. Looking back at historical data with a new angle is a common scenario.
Finally, we'll see how to run real-time analytics on IoT Data to power real-time dashboards or take actions with Azure Stream Analytics and Logic Apps. By the end of this lesson, you'll have an understanding of all the related data components of the IoT reference architecture.
Learning Objectives
- Understand the challenges of big data and the kinds of data IoT systems produce
- Understand the challenges of ingesting and storing IoT data and how it can fit into your existing data landscape
- Learn how using IoT as an operational data source for your analytical system can unlock insights and actions across the organization
Intended Audience
This lesson is intended for anyone looking to improve their understanding of Azure IoT and its benefits for organizations.
Prerequisites
To get the most out of this lesson, you should already have a working knowledge of Microsoft Azure.