In this article I am going to describe how to use .NET for Apache Spark with EntityFrameworkCore to stream data to a Microsoft SQL Server. If you have tried this before, you probably stumbled upon the following exception: Microsoft.Data.SqlClient is not supported on this platform.
So let’s find out, how that can be fixed.
If you want to stream to an SQL Server, you obviously need to have access to an SQL Server instance first.
Using docker, it is very easy to fire up a related container. I’ve just named it sqlserver, as … more
Recently, I published a small example project to utilize the htm.core AI algorithm by consuming its REST API via C#. As the API also transfers serialized multi-dimensional NumPy arrays, I was looking for an easy way to get them back into C# objects. I’ve tried out a couple of approaches and finally decided on using the NumSharp library, as I wanted a solution that works on multiple platforms.
I find DataCamps’ Data Science Cheat Sheets very useful and was hoping to find something similar for NumSharp. Well, I didn’t, but obviously that gave me a … more
In case you weren’t aware, htm.core now also provides a REST interface to it’s Network API. With this in place, it is possible to utilize the built-in encoders, Spatial Pooler and Temporal Memory from almost any programming language. In this post I briefly want to touch on how to use htm.core and C# together.
Before you can start playing around with the REST interface, you will need to have the example REST server running.
To do that, you can either
download the source and build it yourself. Once built, the server executable (rest_server) should