Data Science, BI, and Reports
Business Intelligence and Data Science are linked, and complementary. As Steve notes, both can help your organization make better decisions based on data.
Power BI Workbooks
Power BI Workbooks | Step by Step - In this tip we look at how to work with Power BI workbooks and in the previous tip we looked at working with Power BI datasets.
Unwrapping, Unboxing and Installing SQL Clone
If you are evaluating a tool such as a text editor or spreadsheet, it is easy: you just install it, you run it, you decide whether you need it. Job done. However, a similar 'unboxing' or 'unwrapping' of SQL Clone, and installing across a network, is not so quick and easy. Phil Factor's solution is to install and run a complete installation of SQL Clone on a single box. This allows you to try everything out, creating images and deploying clones, while isolated from the network. It can then be extended across a network, subsequently, when it's been fully tested.
Micro Credentials
Today Steve talks about a new way of achieving some certification and education from Microsoft.
Free Solution Brief – Dedicated Database Environments for Dev, Test and CI
Developers and testers can be blocked from having a local, private database to work in because of disk space, refresh times, and data privacy. Download this free solution brief to learn how SQL Provision removes these blockers and enables production-like data to be delivered at speed. Download now.
Hosting a Machine Learning Model in ASP.NET Core 3.0
Microsoft introduced the ML.NET framework which can be used by developers to include machine learning models in their applications. In this article, Dino Esposito discusses hosting a machine learning model in ASP.NET Core 3.0.
ASP.NET Core with GitOps: Dockerizing an API on AWS EC2
As more shops begin automating build and deployment pipelines, it’s critical to learn about containerization. In this article, Mircea Oprea walks you through deploying an ASP.NET Core API in a Docker container.
Displaying Execution Plans
Randy starts a multiple part series on tuning queries. We've asked Randy to really start from scratch and walk through the process. This week he takes a look at viewing query plans in Query Analyzer.
Parameter pain
A forum question came up a few days ago regarding an abnormally large procedural cache. In an attempt to help out, I threw together a few ideas (some wrong, some right) and started looking at the types of query that were in the cache. A lot of the queries were in the format select * […]
Blogs
Why your data still can’t answer a simple question
Every organization I talk to has the same problem dressed up in different clothes....
T-SQL Tuesday #197 Invitation – An impactful session or two from a conference
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
Did You Really Name That Default?
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Forums
The day-to-day pressures of a DBA team, and how we can work smarter with automation and AI
Comments posted to this topic are about the item The day-to-day pressures of a...
Using OPENJSON
Comments posted to this topic are about the item Using OPENJSON
Data Modeling with dbt for Visual Code: The Fabric Modern Data Platform
Comments posted to this topic are about the item Data Modeling with dbt for...
Question of the Day
Using OPENJSON
I have some data in a table that looks like this:
BeerID BeerName brewer beerdescription 1 Becks Interbrew Beck's is a German-style pilsner beer 2 Fat Tire New Belgium Toasty malt, gentle sweetness, flash of fresh hop bitterness. 3 Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste 4 Alaskan Amber Alaskan Brewing Alaskan Brewing Amber Ale is an "alt" style beer 8 Kirin Kirin Brewing Kirin Ichiban is a Lager-type beerIf I run this, what is returned?
select t1.key
from openjson((select t.* FROM Beer AS t for json path)) t1 See possible answers