22-25 April 2026 
Niels Berglund
Niels is Software Architect at Derivco in Durban, and he is a SQL Server Data Platform MVP. He is a published author and acclaimed speaker at industry conferences.
His technology interests are databases, especially SQL Server, where he works closely with Microsoft, streaming data, Kafka, and data analysis.
You can find his blog at: https://nielsberglund.com.
Niels Berglund's Training Days
A Day of Azure Data ExplorerSQLBits 2022
Learn how Azure Data Explorer works and how you can use it to query billions of rows in near real-time.
Niels Berglund's Sessions
Analyze Billions of Rows of Data in Real-Time Using Azure Data ExplorerSQLBits 2022
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 DatabaseSQLBits 2022
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 KafkaSQLBits 2021
In this talk we look at how we can stream data from SQL Server to the de facto standard for streaming: Apache Kafka.
Set Your SQL Server Data Free with the Use of KafkaSQLBits 2020
In this talk we look at how we can stream data from SQL Server to the de facto standard for streaming: Apache Kafka.
Understanding Query Cache and Query Plans SQLBits 2008
Understanding Query Cache and Query Plans
Analyze Billions of Rows of Data in Real-Time Using Azure Data ExplorerSQLBits 2022
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.
Improve Customer Lifetime Value using Azure Databricks & Delta LakeSQLBits 2022
In this session we look at what Customer Lifetime Value is, and how we can calculate and improve it using Azure Databricks.
ksqlDB - The Real-Time Streaming DatabaseSQLBits 2022
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.
User-Facing Real-Time Analytics Using Apache Kafka and Azure Data ExplorerSQLBits 2022
Come to this session to see how we can use Apache Kafka and Azure Data Explorer to perform near real-time User-Facing analytics against streaming data.
Set Your SQL Server Data Free with the Use of KafkaSQLBits 2021
In this talk we look at how we can stream data from SQL Server to the de facto standard for streaming: Apache Kafka.
Set Your SQL Server Data Free with the Use of KafkaSQLBits 2020
In this talk we look at how we can stream data from SQL Server to the de facto standard for streaming: Apache Kafka.
Understanding Query Cache and Query Plans SQLBits 2008
Understanding Query Cache and Query Plans