I’m pleased to announce the release of PCF Usage Inspector v1.2.1 for XrmToolBox today. This release adds some key new functionality to let you make sure you’re using PCF controls consistently across your environments. If you’ve just developed or imported a great new PCF control, PCF Usage Inspector can help Continue Reading
As part of migrating some dashboards to Power BI using the TDS Endpoint I hit a problem getting a chart to show correctly. I needed to show invoices with the values grouped by month. This is simple in a standard Dynamics chart, and when importing the data into Power BI. Continue Reading
I’m pleased to announce the release of version 4.0.0 of SQL 4 CDS. This release introduces SQL 4 CDS – SSMS Edition, bringing many of the SQL 4 CDS features directly into SQL Server Management Studio! If you’re using the TDS endpoint this plugin expands your options directly in SSMS Continue Reading
A common issue I used to encounter with SQL-based reports for on-premise Dynamics CRM instances was correctly & efficiently filtering on dates. In the underlying SQL tables, Dataverse stores dates & times in UTC time zone, and this is how they’re indexed. In the views that the TDS Endpoint exposes Continue Reading
Following up on this call to action from Jonas Rapp: 📢 Calling all @XrmToolBox tool developers! Are you still building and releasing your tools manually? Stop that.Now.https://t.co/47pjRKAOT1 — Jonas Rapp ᴹᴠᴾ 🇸🇪 #ProCodeNoCodeUnite (@rappen) December 2, 2020 I decided to finally automate the build & release process for SQL 4 Continue Reading
I’m pleased to announce that SQL 4 CDS 3.1.0 is now available to download in XrmToolBox! This release includes a lot of performance and usability related changes.
I hit a strange situation yesterday. I was retrieving data from Dataverse with a FetchXML query but some values were missing from my results, while others were duplicated. Turns out it’s an easy situation to get into without noticing.
One of the most popular features of SQL 4 CDS has proven to be the ability to change data using INSERT, UPDATE and DELETE statements. To that end, I’ve been looking at how to improve the performance of these types of queries. Whilst I’ve been doing this with a view Continue Reading
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.