Time Traveling in the Cloud

Explore time series data processing and analytics in this NDC Oslo 2021 conference talk. Dive into the complexities of time traveling through IoT data, learning how to understand the past and anticipate the future. Discover common roadblocks in time series analytics and gain insights into Azure services for data-driven solutions. Examine Time Series Insights, Azure Machine Learning, and Azure Data Explorer, understanding how to combine these tools effectively. Follow along as the speaker demonstrates practical applications using IoT Hub, Azure Portal, Event Hub, and Stream Analytics. Learn about modeling techniques, calculated fields, and predictive maintenance using ARgus. Gain valuable knowledge on leveraging Azure's powerful ecosystem for processing and analyzing time series data in cloud-based IoT scenarios.

Introduction
About Sam
About the session
Time Series Components
Scenario
IOT Hub
Reference Architecture
Demo Setup
Time Series Insights
Types
Azure Portal
Azure Event Hub
Overview Portal
Zooming in
Adding a marker
Time shift
Modeling
Calculated Field
Sharing Views
Query API
Azure Data Explorer
Column DB
Predictive Maintenance
ARgus
Azure Machine Learning
Stream Analytics
Wrap up