Building Streaming Data Pipelines in Microsoft Azure
Do you need to process live data streams from sensors, custom apps, IoT devices, and logs? Do you need to immediately respond to anomalies and patterns in live data streams? Are you familiar with T-SQL? If so, Azure Stream Analytics is for you.
What you'll learn
Processing live data streams in real time can be challenging and expensive. In this course, Building Streaming Data Pipelines in Microsoft Azure, you will gain the ability to effectively use Azure Stream Analytics for your live data processing needs. First, you will learn to configure stream and reference inputs for the service. Next, you will discover how to process your data using the Stream Analytics Query Language. Finally, you will explore how to visualize Azure Stream Analytics output with Microsoft Power BI. When you are finished with this course, you will have the skills and knowledge of Azure Stream Analytics needed to turn your live stream data into meaningful, actionable information.
Table of contents
- Overview 2m
- What Is Live Event Processing? 4m
- Live Data Processing Challenges 3m
- Introducing Azure Stream Analytics 5m
- What Is Time Windowing? 3m
- Tumbling Window and Hopping Window 4m
- Sliding Window and Session Window 5m
- Scaling Azure Stream Analytics Jobs 4m
- Demo: Creating Our First Azure Stream Analytics Job 11m
- Summary 2m
- Overview 2m
- Stream Analytics Supported Input Formats 3m
- Stream Analytics Query Language Data Types 5m
- Stream Analytics Query Language Elements and Functions 4m
- User Defined Functions in Stream Analytics 5m
- Stream Analytics Timing and Timestamp By 4m
- Event Ordering Policies 3m
- Demo: Stream Analytics Query Language 13m
- Demo: User Defined Functions 5m
- Summary 2m
About the author
Reza is a cloud consultant and a Microsoft Certified Trainer alumni. He started professional software development and training over two decades ago and is passionate about cloud technologies. Reza continues to help his clients moving to the cloud and loves to share his passion for the cloud with the developers and software architects through training.