Manage spatial data with Microsoft SQL Server
- Description
- Curriculum
- FAQ
- Reviews
Are you a database user who wants to learn about spatial data analytics? Ā Are you a GISĀ professionalĀ stuck in a rut of only knowing how to use a GIS GUI? Do you want to learn how to automate tasks, but are afraid of computer programming. If so, SQL is the most powerful tool you can learn to help you perform complex GIS tasks. This course is designed to teach you how to write SQL to replicate many database and GIS tasks using Microsoft’s SQL Server. We will start at a very basic overview, and then proceed to more advanced topics related to GIS.
Through a series of lectures, I will work side-by-side with you to develop SQL queries in SQL Server that perform advanced GIS tasks, some of which might be impossible to perform in the GUI. Once my students learn GIS, they very rarely want to return back to using the GUI.
By writing SQL code alongside me, you will see how solving GIS tasks in SQL is like a second nature. This is a very comprehensive course that should take multiple days to complete – but don’t worry about that – you will be having a lot of fun learning how powerful SQL can be, and continually ask yourself “why didn’t I start using SQL sooner!”
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1Install SQL Server and SQL Server Management Studio
For this lecture, students will download and install SQL Server and SQL Server Management Studio
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2Install Data
This lecture will allow show you how to load the Annapolis.bak file into SQL Server. Ā Make sure to download the file annapolis.zip, and unzip it. Ā The video will step you through the steps to restore the database.
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3Course Overview
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4Is Spatial Special?
This lecture will present some of the arguments people use to discourage the use ofĀ SQL. Ā It will also begin to answer why SQL is actually a preferable language for managing data.Ā
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5Why SQL is Superior
This lecture will continue to build the case for why SQL is superior to other methods of manipulating data. Ā Further, it will present the argument that SQL is actually far superior than traditional GISĀ processes. Ā Ā
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