- A C#-app for Windows that will populate the database (ongoing)
- A web app that will analyse the database and look for inconsistencies
- A Python script (or possibly Matlab script) that will perform machine learning on the data set.
In the last blog post, I created the database that I will work with. Now. I'll start populating it.
The first step is to connect to the database. I'll use an example that I found:
The language setting is Swedish. For non-Swedish speakers, the error message says that the key attachdbfilename is invalid. |
The key attachdbfilename is invalid. The DataDirectory needs to be changed to an actual library. I'll start by fixing the connectionString and using a standard SQL query:
The First INSERT and SELECT to the Database
I extended the query to the database. First, I populated the database with some dummy data. After that, I selected all rows in the database and presented them as a message box:
It shouldn't be possible to add more than one record of a particular stock for a particular date. I will add a UNIQUE constraint. I will fix that soon.
Next, I need to plan how to design the application, with different classes and layouts for the user interface.
Side Note:
I added the project to my GitHub account, using instructions on GitHub.
The updated code is available at https://github.com/cutetrains/StockToDatabase
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