22-25 April 2026 
A Day of Azure Data Explorer
2022TL; DR
Learn how Azure Data Explorer works and how you can use it to query billions of rows in near real-time.
Session Details
We get that data pros are under pressure to analyze data to get insights from it. However, batch style analytics - where we receive results hours or even days after the fact - is no longer good enough for decision makers. We need to execute near-real-time analytics, and we must run it against a wide breadth of data: structured, semi-structured, IoT data etc., etc. But how do we achieve this and what tools are best to make this happen in your data environment?
The answer is Azure Data Explorer (ADX). Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis specifically designed for large volumes of data streaming. From applications, websites, IoT devices, ADX can .. . . .
In this full day training session, we look in detail at Azure Data Explorer, what it is, and how we can use it to blazingly fast query billions of rows in near real-time .
Topics we look at:
* Overview of ADX
* ADX Architecture
* Ingestion into ADX from Kafka, EventHubs, etc.
* Overview of Kusto Query Language (KQL)
* Advanced KQL queries; ML, Timeseries, etc.
Feedback link https://sqlb.it/?6185
The answer is Azure Data Explorer (ADX). Azure Data Explorer is a fast, fully managed data analytics service for real-time analysis specifically designed for large volumes of data streaming. From applications, websites, IoT devices, ADX can .. . . .
In this full day training session, we look in detail at Azure Data Explorer, what it is, and how we can use it to blazingly fast query billions of rows in near real-time .
Topics we look at:
* Overview of ADX
* ADX Architecture
* Ingestion into ADX from Kafka, EventHubs, etc.
* Overview of Kusto Query Language (KQL)
* Advanced KQL queries; ML, Timeseries, etc.
Feedback link https://sqlb.it/?6185
3 things you'll get out of this session
Speakers
Niels Berglund's previous sessions
Analyze Billions of Rows of Data in Real-Time Using Azure Data Explorer
In this demo-filled session we get an overview of Azure Data Explorer, which is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. We look at how to ingest data, as well as query in real-time against billions of rows with sub-second latency.
ksqlDB - The Real-Time Streaming Database
In this demo filled session we see how we use ksqlDB to gain real-time insights into streaming data. We look at push/pull queries, User Defined Functions, tables and streams.
Set Your SQL Server Data Free with the Use of Kafka
In this talk we look at how we can stream data from SQL Server to the de facto standard for streaming: Apache Kafka.