22-25 April 2026 
SQLBits 2022
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.
In today's competitive world, it is of utmost importance that we analyze our data to get insights from it! However, batch style analytics - where we get results hours or even days after the fact - is no longer enough. We need to be able to do near-real-time analytics, and we need to do it against a wide variety of data: structured, semi-structured, IoT data etc., etc. But what do we use for this?
The answer is Azure Data Explorer (ADX). Azure Data Explorer 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.
If being able to do near-real-time analytics sounds interesting to you, this demo-filled session is for you. In this session, we look at Azure Data Explorer, and some of the topics we look at are:
* An overview of how ADX works.
* How to ingest data into it.
* Query in real-time against billions of rows with sub-second latency.
Feedback link https://sqlb.it/?7090
The answer is Azure Data Explorer (ADX). Azure Data Explorer 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.
If being able to do near-real-time analytics sounds interesting to you, this demo-filled session is for you. In this session, we look at Azure Data Explorer, and some of the topics we look at are:
* An overview of how ADX works.
* How to ingest data into it.
* Query in real-time against billions of rows with sub-second latency.
Feedback link https://sqlb.it/?7090
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.