SQLBits 2015

Analyze data streams with Azure stream analytics

Azure stream analytics is a new Azure service for analyzing streaming data.

In many database applications we first log data and then, a few hours or days later, we start analyzing it. But in a world that's moving faster and faster, we sometimes need to analyze what is happening NOW. Azure Stream Analytics allows you to analyze streams of data via a new Azure service. In this session you will see how to get started using this new service. From event hubs on the input side over temporal SQL queries: the demo’s in this session will show you all of it.

Nico Jacobs's other proposed sessions for 2026

Fabric Data Agents - 2026

The Power of Paginated Reports - 2026

What are Fabric Materialized Lake Views - 2026

When Translytical Task Flow meets Fabric Data Function - 2026

It's about time: Calendar-based time intelligence in Power BI - 2026

Nico Jacobs's previous sessions

Getting started with SparkML in Microsoft Fabric

Microsoft Fabric supports machine learning in their Spark notebooks. See an end-to-end demo of how Fabric data is used to build machine learning models upon, which are then used to make predictions about other Fabric datasets.

Learn in one day the core concepts of the DAX language, with a lot of focus on the evaluation context. (in-person only)

What Power BI users need to know about R

Learn the basic knowledge to use the R language in Power BI as source, transformation or visualization

Analyze data streams with Azure stream analytics

Azure stream analytics is a new Azure service for analyzing streaming data.