Ed’s Blogging about SQL Server Spatial

It’s good to see Ed Katibah open up a blog on SQL Server spatial data. Ed is sort of the “dad” of spatial data in SQL Server; he’s got a ton of experience and history in this space. Be sure to catch his posting on what’s new in spatial for CTP6. I’ve been trying out the new functions and the more I use the spatial types and functions, the more I understand the reasoning behind the dual Geometry – Geography types in SQL Server.

Issac‘s back at blogging too about spatial indexes, really makes for good reading.

Subscribed!

Other articles

Over 1000 XEvents in SQL Server 2016 CTP2. Here are the new ones.

Extended events has firmly established itself as the premier diagnostic feature in SQL Server and SQL Server 2016 brings along more events to correspond to

Taking the Azure SQL Database row-level security preview for a spin

The security announcements around Azure SQL Database keep coming. Auditing was implemented a few months ago, and today it was followed by a preview of

Azure SQL Database V12 Preview – Spatial Fully Functional

Yesterday’s blog post about Azure SQL Database V12 mentioned that one of the features I was particularly interested in seeing/testing were the spatial features. Interestingly,

Not a “me-too announcement” blog on Azure SQL Database V12 preview

In general, I usually hate “me too” announcement blog posts. Over the years, I’ve considered it less than useful to simply repeat “Product XXX released

AzureML: What components are used by the sample experiments?

A few months ago, I embarked on a project to learn more about data mining, machine learning and, as a prerequisite, statistics. I was tired

Book Review: Chris Webb’s “Power Query for Power BI and Excel”

I’ve been experimenting with Power Query and the rest of the Power BI suite in Excel (desktop edition) since it was originally released. But, like

Imagine feeling confident enough to handle whatever your database throws at you.

With training and consulting from SQLskills, you’ll be able to solve big problems, elevate your team’s capacity, and take control of your data career.