You can often add more value to your data by combining it with other sources to produce an enriched data set. By keeping large reference datasets out of the main Dataverse database you can dramatically reduce storage costs. You can then combine them as needed using Azure Data Factory.
In my last post I loaded some data from Excel into Azure Data Lake and stored it in the Common Data Model format. Now I want to present that data using Power BI.
Last time I showed how to create a data lake, but how do you get data into it? What format should you store it in?
In the world of data technologies, you’ll probably see data lakes appearing more and more often. I’d like to take a closer look at the Azure Data Lake and how it works with the wider Azure data ecosystem.
I’m pleased to announce that I’ve just released version 3 of SQL 4 CDS. The main updates in this release are: Metadata queries Support for virtual (___name) attributes
Since Dynamics CRM 2013 we’ve been able to create our own APIs within the XRM framework using the Custom Action process type. Recently a new option appeared in the maker portal called Custom APIs which sounded very similar, so I thought I’d take a look.
The latest addition to FetchXML is Late Materialize. Turning this on or off doesn’t change the results of your query, but it does change how it’s executed behind the scenes, which could lead to some performance improvements.
I’ve looked at different ways of accessing CDS metadata recently, but there’s another way I’d overlooked – using FetchXML. CDS exposes a limited amount of metadata as special virtual entities that lets you query it using standard FetchXML syntax:
I received a notification today that the preview TDS endpoint had been disabled on my environment because of a security vulnerability.
I’ve been studying lately for the Azure Data Engineer Associate certification, and the main point of one of the exams (DP-201 – Designing an Azure Data Solution) is all about picking the data platform(s) that best meet the requirements. Having used SQL Server for many years it’s a simple trap Continue Reading