Niels Berglund

Install SQL Server 2019 Big Data Cluster using Azure Data Studio

Installation of SQL Server 2019 Big Data Cluster on Azure Kubernetes Service using Azure Data Studio.

Posted by nielsb on Wednesday, September 11, 2019

SQL Server 2019 CTP3.2 & Java

SQL Server 2019 CTP 3.2 and Azule OpenJDK.

Posted by nielsb on Saturday, August 3, 2019

Set Your SQL Server Data Free with Kafka: Extensibility Framework

In this post we look at how we use Java to send data from SQL Server to Kafka.

Posted by nielsb on Tuesday, July 16, 2019

SQL Server 2019 Extensibility Framework & External Languages

We look at SQL Server 2019 Extensibility Framework and Language Extensions

Posted by nielsb on Thursday, June 6, 2019

Java & SQL Server 2019 Extensibility Framework: The Sequel

We look at the implications of the introduction of the Java Language Extension SDK.

Posted by nielsb on Sunday, May 26, 2019

Installing R Packages in SQL Server Machine Learning Services - IV: Permissions

We look at permissions required when using CREATE EXTERNAL LIBRARY as well as ownership.

Posted by nielsb on Sunday, April 21, 2019

Installing R Packages in SQL Server Machine Learning Services - III

How we can install R packages in SQL Server Machine Learning Services using T-SQL DDL: CREATE EXTERNAL LIBRARY.

Posted by nielsb on Wednesday, April 10, 2019

SQL Server 2019, Java & External Libraries - II

We look at how to use CREATE EXTERNAL LIBRARY to deploy Java code without having access to SQL Server's filesystem.

Posted by nielsb on Sunday, March 17, 2019

Interesting Stuff - Week 10, 2019

Distributed consensus, Azure in South Africa, Service Fabric and Event Hubs, SQL Server 2019 and Java, and other interesting topics.

Posted by nielsb on Sunday, March 10, 2019

SQL Server 2019, Java & External Libraries - I

We look at how we can deploy Java code to the database, so it can be loaded from there.

Posted by nielsb on Sunday, March 10, 2019

Technology musings about coding and data. Some topics: .NET, SQL Server, AI/ML, Big Data, Streaming, Kafka, Azure Data Explorer, and a lot more.