Sunday, May 19, 2024
Quick tip: cheap static website hosting in Azure Storage
Friday, April 26, 2024
Start CRM development tools from command prompt with Power Platform CLI
It is important to keep your Dynamics 365 development tools up to date, in the past I did this by using a PowerShell script provided by Microsoft.
But now the Plugin Registration Tool (prt) and Configuration Migration Tool (cmt) are part of the Power Platform CLI - see Dataverse development tools for more info - so you can launch the Plugin Registration Tool easily from command line using "pac tool prt"
When you install the Power Platform CLI with .NET tool (which requires .NET 6.0 to be installed) you need to use the same mechanism to keep the CLI up to date.
Sunday, April 21, 2024
Power Automate license enforcement - looking at it from a Dynamics 365 CE perspective
Mid May 2023, a warning popped up in Microsoft Message Center regarding "Non-Compliant Power Automate Flows" - soon after the message however disappeared so this got probably missed by the majority of Dataverse and Dynamics 365 admins.
This however raised some concerns in the broader Microsoft community ( see Will Power Automate enforcement licensing kill your flows? and Upcoming licensing enforcement in Power Automate explained ).
To be honest I did not pay a lot of attention since the message apparently vanished in thin air and after consultation with Microsoft support they said that this message was sent prematurely. But then, end of October another warning popped up.
So it seems that Microsoft is finally cracking down on Power Automate flows which are not associated with a properly licensed user for premium connectors or Power Automate flows not directly linked to a Power App. When you built your own model-driven app on top of Dynamics 365 Customer Engagement (CE) which uses Power Automate flows, you will need to associate the Power Automate Flow with with your new app.
There is a PowerShell script to identify the flows which at risk to be turned off across your tenant - see I have many environments - how can I get the flows that need my attention across tenants in the Power Automate Licensing FAQ - which uses the Get-AdminFlowAtRiskOfSuspension cmdlet
The Get-AdminFlowAtRiskOfSuspension cmdlet is part of a separate PowerShell module which you can install using Install-Module -Name Microsoft.PowerApps.Administration.PowerShell. It will run a scan of your environments and outline
Check out Associate flows with apps - Power Automate | Microsoft Learn on how you need to link up a flow with an app (see below screenshot on where to do this in the Power Automate flow detail screen). If you make this change on a flow which is a part of a solution, then the associations will be part of the solution file and can be transported cross environments.
Related articles/blog posts:
The ABC of AI: Retrieval-Augmented-Generation (RAG) and grounding
This is the first in a series of blog posts about more advanced generative AI and Large Language Model (LLM) concepts which I use as notes to myself (check out Why I blog and you might want to consider it as well)
Retrieval-augmented generation (RAG) is an AI framework that enhances the quality of responses generated by large language models (LLMs). LLMs are trained on a massive amount of data and understand statistical relationships between words but lack true comprehension of their meanings. So when faced with specific questions in a dynamic context so that is where RAG comes in.
RAG integrates information retrieval into LLM answers by using these steps:
- User inputs prompt: when you ask a question, RAG uses your input prompt
- RAG retrieves relevant information from an external knowledge base based on the user prompt
- RAG combines this external content with your original promt creating a richer input for the LLM
- Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service (Microsoft Learn)
- RAGAs- How to evaluate RAG pipelines chatbot
- Intro to Retrieval-Augmented Generation (RAG) with Generative AI and OpenAI on Azure
- Azure Cosmos DB - Vector Database
- How vector search and semantic ranking improve your GPT prompts (Microsoft Mechanics)
- The 5 types of LLM apps (YouTube)
- RAG application with Azure open AI & Azure Cognitive Search (French legal use case - Python notebook)
- Microsoft Copilot for Microsoft 365 overview
- Grounding language model with chunking-free in-context retrieval
- Grounding LLMs
- Langchain - use cases - Q&A with RAG
- Retrieval Augmented Generation (RAGs) for LLMs
Monday, April 15, 2024
Dynamics 365 and Power Platform monthly reading list April 2024
- Artificial Intelligence 2023 Playlist by Stanford Online (YouTube) and Stanford CS229: Machine Learning | Spring 2022 Stanford Online (YouTube)
- Use Semantic Kernel with Lakehouse in Microsoft Fabric
- Fabric end-to-end use case: Analytics engineering part 1 - dbt with the Lakehouse by @s_debruyn
- From Microsoft to global brands, Dynamics 365 Copilot is helping transform customer experiences across service, sales and marketing
- Accelerate support ramp-ups, handoffs and wrap-ups with Copilot summarization in Dynamics 365 Customer Service
- Introducing new Copilot experiences to boost productivity and elevate customer experiences across the organization
- Transform your business with Microsoft AI (Microsoft Learning Path)
- Accelerating revenue with AI Powered Solutions: a CRO Guide (e-book)
- Microsoft Azure AI Fundamentals: Generative AI (Learning path)
- 10 AI terms everyone should know
- Revolutionizing marketing workflows with Copilot in Dynamics 365 Customer Insights
- Creating Custom Copilots: Azure AI Studio and Copilot Studio. When to use what?
- Build your Copilot testing strategy in Dynamics 365 Customer Service
- Learn Live: Microsoft Learn AI Skills Challenge
- The Art and Science of working with AI
- Microsoft Copilot in Azure extends capabilities to Azure SQL Database (Private preview)
- How to connect Copilot Studio to Dynamics 365 Customer Service (YouTube)
- Introducing Copilot pane in Power BI Desktop (preview)
- Enable Copilot case and conversation summaries
- Trust Micrsoft Copilot with your Power Platform and Dynamics 365 data - Power CAT live (YouTube)
- Building Modern Enterprise Solutions: Microsoft Dataverse and Microsoft Copilot
- Microsoft Copilot scenario library - real use cases for HR,Finance, IT, Marketing and Sales
- Microsoft Copilot for Sales FAQ
- Day 19: Microsoft Copilot vs Microsoft Copilot for Microsoft 365 vs Copilot aka PVA
- Announcing Microsoft Copilot for Service
- Enable Copilot in Customer Service and custom apps (Dynamics 365)
- Microsoft Copilot for Service: Introducing new Copilot experiences to boost productivity and elevate customer experiences across the organization and Copilot in Microsoft Dynamics 365 (YouTube)
- Generative AI for beginners (Microsoft)
- Large language models, explained with a minimum of math and jargon
- Using copilot with SharePoint knowledge to serve your customers
- Dynamics 365 Customer Insights - Deliver higher-impact experiences with better data quality and configuration with Copilot
- Information Assistant Industry accelerator on GitHub
- Announcing Microsoft Copilot for Service and Microsoft Copilot for Service product page
- Build your own copilots with Azure AI Studio (Microsoft Mechanics recording)
- Build GPT-automated customer support with Azure Communication Services
Technical topics (Configuration, customization and extensibility)
- Lakehouse vs Warehouse vs Datamart - the difference between the three Fabric objects
- Power Platform Well-Architected framework
- Creating service principals really easily using PAC CLI by @carldesouza
- The power of Prefer Headers in the Dynamics CRM web API
- Analyze Dataverse tables from Microsoft Fabric
- Enterprise security with Power Platform (Microsoft white paper)
- Microsoft Fabric, explained for existing Synapse users
- Announcing new cloud governance guidance in the Microsoft Cloud Adoption Framework (CAF) for Azure
- PCF Learning Roadmap
- Mask sensitive data and prevent unauthorized access and Dataverse: about masking rules
- Protect enterprise solutions with new Microsoft Power Platform security features
- Power Platform Wave 1 2024: Top 10 features you need to know! (YouTube)
- Add intelligence into your apps with Dataverse AI functions (YouTube)
- Leverage the Power Platform API to create a capacity report
- Associate activities with multiple related records (2023 Wave 2 Public preview)
- Power Platform tenant settings (YouTube)
- Working with solution dependencies for objects made easier
- Improve solution import time
- https://aka.ms/azai - develop apps that use Azure AI services
- How to create a new Dynamics 365 SCM trial environment from the Power Platform Admin Center (PPAC) preview
- What's new in Playwright 1.32 (YouTube)
- Using Application Insights for Dataverse monitoring
- Modernize customer support with Copilot in Dynamics 365 Customer Service
- Announcing the Power Platform solutions with AI and Copilot learning path
- Sample library for Digital Contact Center Platform
- Modernize Service Guided Tour
- Forrester TEI study shows 315% ROI when modernizing customer service with Microsoft Dynamics 365 Customer Service
- End of support for Project Service Automation (PSA 3.x)
- Model driven Apps (Power Platform) visual glossary
- My annual letter: leading in a new era - annual letter from Satya Nadella, CEO at Microsoft
- Finding adequate metrics for outer,inner and process quality in software development
- Customer story: Avanade puts people first, accelerates sales productivity with Microsoft Copilot for Sales
- Keeping up to date with changes to the Release Wave Plans
- A consultant's guide: overcoming the challenges of joining a Microsoft Dynamics 365 project mid-way through
- Accelerate Copilot extensibility and Power Apps creation with Microsoft Dataverse
- How Microsoft and generative AI are transforming financial services contact centers
Friday, February 23, 2024
SQL Server Integration Services Project template available for Visual Studio 2022
Since end of 2022, there is also a SQL Server Integration Services Project template available for Visual Studio 2022 which you can install from the Visual Studio Marketplace. You can install it from the direct download link here or you can search for it in the Visual Studio 2022 extension manager and install it from there.
Thursday, February 22, 2024
Classic Azure Application Insights deprecated on February 29th 2024 - 7 days to go
If you missed it - classic Azure Application Insights will be deprecated on February 29th 2024. If you missed the different notification e-mails, you can quite easily see the warning if you navigate to an Azure Application Insights resource in Azure Portal.
Migration is actually quite easy - you just click on the link provided and this will open up the menu depicted below which allows you to associate your Azure Application Insights resource to a Log Analytics Workspace. The good news is that there are no pricing changes when moving to the workspace-based model.
As indicated in the migration window, this is a one way operation so plan for it in advance - the points below might impact on how you will do the migration:
- You can link different Application Insight resources to a single Log Analytics workspace or you can make the split - in most case you want to consolidate it.
- Instrumentation keys do not change during the migration so you don't need to worry about this
- The export feature is not available on the Application Insights workspace-based resources - you need to look at diagnostic settings for exporting telemetry
- There might be some schema changes - important to consider when doing KQL queries - check out query data across Log Analytics workspaces, applications and resources in Azure Monitor
- Existing log data will not immediately move to the Log Analytics workspace - only new logs generated after the migration will be stored in the new log location.
Sunday, January 14, 2024
Procreate 5 handleiding video overzicht
Lijst van ondersteunende video's bij het boek Procreate 5 Handleiding - tekenen op de ipad (Stefan de Groot, 2020)
Tuesday, December 26, 2023
Running SSIS packages in Azure Data Factory - scaling and monitoring
Lifting and shifting SSIS packages to Azure Data Factory (ADF) can provide several benefits. By moving your on-premises SSIS workloads to Azure, you can reduce operational costs and the burden of managing infrastructure that you have when you run SSIS on-premises or on Azure virtual machines.
You can also increase high availability with the ability to specify multiple nodes per cluster, as well as the high availability features of Azure and of Azure SQL Database. You can also increase scalability with the ability to specify multiple cores per node (scale up) and multiple nodes per cluster (scale out) - see Lift and shift SQL Server Integration Services workloads to the cloud
To lift and shift SSIS packages to ADF, you can use the SSIS Integration Runtime (IR) in ADF. The Azure SSIS-IR is a cluster of virtual machines for executing SSIS packages. You can define the number of cores and compute capacity during the initial configuration (Lift and shift SSIS packages using Azure Data Factory on SQLHack)
Even though there is Microsoft article which explains how to Configure the Azure-SSIS integration runtime for high performance, there is not a lot of guidance of how to run it at the lowest possible cost but still being able to complete the jobs. So would you recommend a higher sizing running on a single node or running a lower sizing on multiple nodes? Based on experience, it seems perfectly possible to run most jobs on a single node and up until now we have been running all of them on a D4_v3, 4 cores, 16GB Standard. If you decide to run it on a lower configuration, it would recommend monitoring failures, capacity usage and throughput. (See Monitor integration runtime in Azure Data Factory for more details)
Reference:
- Configure the Azure-SSIS integration runtime for high performance
- Comparing SSIS and Azure Data Factory
Wednesday, November 29, 2023
Dynamics 365 and Power Platform monthly reading list November 2023
2023 Release Wave 2
- Dynamics 365 Customer Service: new dialer experience (preview) by @D365Goddess
- New sales capabilities in 2023 release wave 2 - helping sellers work smarter
- Dynamics 365 CRM Wave 2 Release: enhance categorization of knowledge search articles
- Configure sales Copilot for Dynamics 365 Sales (Preview) by @DianaBirkelbach
Technical topics (Configuration, customization and extensibility)
- Dataverse - use bulk operation messages (MS Learn) - CreateMultiple and UpdateMultiple are now GA! Read the small print to see when to use it
- Dataverse let's try elastic tables (preview) - by @temmy_raharjo
- Ways to deal with missing Power Platform environments by @inogic
- Edit subgrids side by side with Power Apps Grid or editable grid by @DianaBirkelbach
- Announcing monthly channel for model-driven apps
- Announcing general availability of custom connectors in solutions as well as environment variable secrets
- Announcing SharePoint Embedded Public Preview at ESPC23 - will be interesting to explore whether it is possible to combine this with Dynamics 365 data as an alternative for Power Pages. Head over to http://aka.ms/start-spe/ to start building your first SharePoint Embedded app.
- Dataverse + Azure Service Bus queue + Azure function for processing long operations
- Workflow automation in Dynamics 365 CRM: triggering actions on email send and receive events by @inogic
- August 2023 updates for modernization and theming in Power Apps
- Connecting to Dataverse from Function App using Managed Identity - using azd
- Power BI - Mastering sales calculations: a comprehensive guide to departmental analysis
- How to enable the enhanced email template editor in model-driven apps (Dynamics 365/Dataverse)
Copilots, AI and machine learning
- Write an email with Copilot in Dynamics 365 Customer Service by @nishantranacrm
- Getting your enterprise ready for Microsoft 365 Copilot (Ignite 2023 recording)
- Learn live: prepare, implement and secure Microsoft 365 Copilot (Ignite 2023 recording)
- New study validates the business value and opportunity of AI
- Architecture and deployment diagrams for Microsoft 365 Copilot
- Analyse the impact of AI-enhanced customer service with Copilot analytics
- What is prompt engineering? (McKinsey)
- Anti-hype LLM reading list
- Microsoft Chat Copilot vs Azure ChatGPT - which generative AI capability to choose for the enterprise
- Measuring the productivity impact of Generative AI (NBER digest)
- The power of prompting (Microsoft Research)
- Get started with Microsoft Copilot Studio: how to create your first Copilot by @lisacrosbie
- Use Copilot to summarize cases - Dynamics 365 Customer Service
Topics for Dynamics 365 Business Applications Platform consultants, project managers and power users
- Microsoft to make Dynamics 365 Marketing a part of D365 Customer Insights
- Customer Service in the age of AI
- Refresh the sales experience with Dynamics 365 Sales modern update
Sunday, November 26, 2023
Implementing Azure Synapse Link for Dataverse: gotchas and tips
Azure Synapse Link for Dataverse allows you to easily export data from a Dataverse (or Dynamics 365) instance to Azure Data Lake Storage Gen2 (ADLS) and/or Azure Synapse. Azure Synapse Link for Dataverse provides a continuous replication of standard and custom entities/tables to Azure Synapse and Azure Data Lake.
I highly recommend you to view the awesome YouTube playlist Azure Synapse Link and Dataverse - better together from Scott Sewell (@Scottsewell) as an introduction.
1. Check the region of your Dataverse/Dynamics 365 instance
The configuration of Azure Synapse Link for Dataverse is done through the Power Platform maker portal but before you can get started you should first setup Azure Data Lake Storage Gen2 and Azure Synapse in your Azure subscription.
It is however best that you first check in the configuration screen in which region your instance is located since the storage account and Synapse Workspace must be created in the same region as the Power Apps environment for which you want to enable Azure Synapse Link. From the PPAC user interface it is currently not possible to create a Dataverse/Dynamics 365 instance in a specific region but this is possible with the PowerShell - see Creating a Dataverse instance in a specific Azure region using Power Apps Admin PowerShell module.
If you need to move a Dataverse or Dynamics 365 instance to a different Azure region, you can open a Microsoft support tickets. Based on recent experience this specific type of Microsoft support request is handled fairly quickly (within 1-2 business days).
Azure Data Lake Storage is a set of capabilities, built on Azure Blob Storage. When you create a storage account and check the "enable hierarchical namespace" checkbox on the advanced tab, you create an Azure Data Lake Storage Gen2.
2. Make sure all prerequisites are in place before enabling Azure Synapse Link
Definitely make sure that all security configuration outlined on Create an Azure Synapse Link for Dataverse with your Azure Synapse Workspace (Microsoft docs) are correctly setup. The exception messages which are shown in the Azure Synapse Link configuration pages aren't always very helpful.
3. Azure Synapse Link for Dataverse is a Lake Database
In the documentation from Microsoft (Understand lake database concepts) a lake database is defined as:
A lake database provides a relational metadata layer over one or more files in a data lake. You can create a lake database that includes definitions for tables, including column names and data types as well as relationships between primary and foreign key columns. The tables reference files in the data lake, enabling you to apply relational semantics to working with the data and querying it using SQL. However, the storage of the data files is decoupled from the database schema; enabling more flexibility than a relational database system typically offers.
The data is stored ADLS Gen2 in accordance with the Common Data Model (CDM) -the folders used conform to well-defined and standardized metadata structures (mapped 1:1 with Dataverse tables/entities). At the root you will see a metadata file (called model.json) which contains semantic information about all of the entity/table records, attributes and relationships between the tables/entities.
The way the files are being written depends on the Azure Synapse Link for Dataverse configuration - both the partitioning mode and in place vs append only mode can be configured - see Advanced Configuration Options in Azure Synapse Link
4. Synapse Link for Dataverse uses passthrough authentication using ACLs in Azure Data Lake - no support for SQL authentication
Since all the the data for the tables in Azure Synapse Link for Dataverse are CSV files which are stored in Azure Data Lake Storage, this also means that security needs to be set at the level of the files in Azure Data Lake Storage Gen2. There is no support for SQL authentication in the Lake DB which is created by Azure Synapse Link for Dataverse.
References:
- Use the Common Data Model to optimize Azure Data Lake Storage Gen2 (Microsoft docs)
- Create an Azure Synapse Link for Dataverse with your Azure Synapse Workspace (Microsoft docs)
- Azure Synapse Link for Dataverse - understanding advanced configuration settings (Microsoft docs)
- Do more with data - from Data Export Service to Azure Synapse Link for Dataverse (Microsoft docs)
- Use Power BI to analyze the CDS data in Azure Data Lake Storage Gen2
- Synapse Link for Dataverse - Option Sets
- Dataverse metadata in Synapse
- Setting up Azure Synapse Link for Dynamics 365/Dataverse
- Power BI modeling guidance for Power Platform
- Azure Synapse Serverless SQL Pools cheat sheet
- Controlling cost with Azure Synapse Serverless Pools
Wednesday, November 22, 2023
Near real-time and snapshots in Azure Synapse Link for Dataverse
The Azure Synapse Link for Dataverse documentation contains a section about Access near real-time data and read-only snapshot data but it does not really explain why you want to use one or the other.
When you open an Azure Synapse SQL Serverless LakeDB in SQL Server Management Studio you see a clear distinction between the two versions of the table data - whereas in Azure Synapse Studio there is no obvious distinction besides the name you will see the "account" table the "account_partitioned" view:
- Near real time data: external table for all the underlying CSV files exported by the Azure Synapse Lin for Dataverse sync engine. There is a soft SLA for the data to be present in these tables within 15 minutes
- Snapshot data/partitioned views: views on top of the near-real time data which are updated on an hourly interval.
In most scenarios, it best to do queries against these partitioned views since you will avoid read conflicts and you are sure that a full transaction has been written on the CSV files in Azure Data Lake storage.
A typical exception that you might receive when doing queries directly against the "tables" is "https://`[datalakestoragegen2name].dfs.core.windows.net$$/[lakedbname]/[tablename/Snapshot/2023-05_1684234580/2023-05.csv" does not exist or you don't have file access rights)" but this also depends on your specific context. If you have a lot of create, updates or deletes on Dataverse tables this might happen more regularly. Even though, the partitioned views are update on an hourly basis - it might be that the Synapse Link engine is just refreshing the views at the same point that you perform a query, which will give you a similar exception but the changes that this occurs are more rare.
You can check the last sync timestamp and sync status in the Power Platform maker portal (see screenshot below)
For the moment, you will also have to manually check the monitoring page (which can be quite tedious if you have a lot of environments) but there is an item in the Microsoft release planner "Receive notifications about the state of Azure Synapse Link for Dataverse" which is apparently in public preview but I haven't seen it in for environments (not in the https://make.powerapps.com and also not in https://make.preview.powerapps.com/) I have access to.
It is also not easy to see if something went wrong with the refresh of the partitioned views - up until now the easiest way to find out is running a SQL query - select name,create_date from sys.views order by create_date desc against the LakeDB.
Monday, November 20, 2023
Procreate video series
Procreate Beginners video series
The Beginners Series is a four-part guide to Procreate, the award-winning digital art app for iPad. Ideal for people new to Procreate, and with plenty of extra tips for advanced artists.
Friday, November 17, 2023
Quick tip: SQL Server Management Studio 19 supports AAD service principal authentication
SQL Server Management Studio 19.x and higher now allows you to login to SQL using Azure Active Directory application ids and secrets - nice improvement and a reason for me to upgrade.
Thursday, October 12, 2023
Quick tip: prevent automatic deletion of an inactive Microsoft Dataverse environment
A couple of months ago Microsoft activated Automatic deletion of inactive Microsoft Dataverse environments. To avoid that an environment gets deleted, sign in to the Power Platform Admin Center (PPAC) and select the environment. On the environment page, select Trigger environment activity.
Thursday, September 14, 2023
We don't talk about storage
When designing a solution using Dataverse or Dynamics 365 CE - Dataverse storage is rarely one of the hot topics and probably most of the times overlooked. In this post I will dive a little deeper into Dataverse storage architecture and why it is important to discuss this during a Dynamics 365 CE or Dataverse implementation
Fundamentals of Dataverse storage architecture
Since April 2019, both Dataverse and Dynamics 365 CE (Online) use a tiered storage model. This means that different data types in Dataverse are stored in the most optimal storage type. Azure files and blobs are used for attachments, relational data (tables) is stored in Azure SQL, audit logs are stored in Azure Cosmos DB, search is powered by Azure Cognitive Services, etc ....
From an end user perspective, this is completely transparent and administrators don't need to manage all of these underlying Azure components since Microsoft takes care of all of this.
Microsoft has however different pricing schema's for these underlying storage types and the price difference is quite significant. You can follow up on the storage capacity in the Power Platform Admin Center. Based on the number of licenses inside your tenant, you will get a specific capacity entitlement for database, file and logs. (See New Microsoft Dataverse storage capacity > verifying your new storage model for more details)
Understanding the cost impact
Database storage in Dataverse comes at a premium price tag. Usually you don't notice this unless you will need to buy additional storage (see What Dataverse capacity is included with the Power Apps and Power Automate plans? for how much additional storage you get with additional licenses).
(1) Pricing based on the list price shown in my personal tenant - August 2023. Prices may vary depending on your licensing agreement. If you buy additional eligible licenses you will also get additional storage allocated, it is also possible to use Power Platform Pay-as-you-go plans instead of buying license but the capacity pricing using PAYG is even higher.
You need to buy additional storage capacity if you are over the allocated storage capacity since storage capacity is being enforced - if you exceed storage capacity you will not be able to create a new environment (requires a minimum of 1 GB capacity) but also copy, restore and recovery operations will be blocked.
Archiving and data retention policies
Besides the impact on your budget of retaining all data in Dataverse (or Dynamics 365) forever - you however also need to consider the potential security and legal risk. Best practices dictate that data should only be kept as long as it is useful or as long as you are legally allowed to retain it - GDPR mandates to define specific data retention period's for personal data.
Defining a data retention policy helps businesses reduce legal risks, security threats and also reduce costs. Data retention policies contain the data retention period and the required actions to take when this period lapses. You should have a data retention period defined for each of entities/tables in use for your Dataverse environment.
In July 2023 finally released Dataverse long term data retention overview in public preview. This feature allows you to create a view on Dataverse tables/entities for data that you need to retain for a longer period. The view is used as a selection criteria to define which data is moved to long term archive storage in a Microsoft managed data lake. With this feature, you might be able to use out of the box functionality instead of having to built your own custom solution.. This functionality is still in preview and should not be used on production - also keep in mind that no pricing details are available yet (they will be announced around the GA timeframe). In a upcoming post I will delve a little deeper into the archive/long term data retention functionality but you can already take a look at Early dive into Dataverse Long Term Retention
Related posts and references:
- Storage capacity management for Dynamics 365/Dataverse - how to track storage evolution with Power BI
- Inside Dataverse Data Storage -Power CAT Live YouTube video
- Cost optimization: older mails in Dataverse now stored in Dataverse file storage
- Storage capacity management for Dynamics 365/Dataverse - how to track storage evolution with Power BI
Monday, August 07, 2023
Reducing size of the SubscriptionTrackingDeletedObject in Dynamics 365 CE or Dataverse
When you delete a large amount of data from Dynamics 365 CE or Dataverse, you will notice that the total storage consumed does not decrease. This is because the SubscriptionTrackingDeletedObject table stores deleted records from the Dynamics 365 database. This table is used to track deleted records for replication and synchronization purposes and records are being kept by default for quite a large amount of time.
When recently encountering this problem, Microsoft support suggested us to reduce the number of days the records are kept in the table from the default 90 to 15 days - to do this take the following steps:
- Install the latest version of the OrganizationSettingsEditor solution which you can download from https://github.com/seanmcne/OrgDbOrgSettings/releases (The OrgDBOrgSettingsTool dates back to Dynamics CRM 2011 but is being maintained by Sean McNellis and is still quite relevant)
- Change the ExpireChangeTrackingInDays and ExpireSubscriptionsInDays from the default setting of 90 days to 15 days. In sandbox environments, you might be able to change this value to 0 but for production environments Microsoft recommended to keep it on a minimum of 15 days. The OrgDBSettings utility utilizes the solution configuration page to provide access to the editor (in classic mode) - see OrgDBOrgSettings - where to find it after installing? for details.
Afterwards - just keep patient until the lapsed number of days have been passed and then you should see a size in reduction for the SubscriptionTrackingDeletedObject
Friday, July 21, 2023
Dynamics 365 and Power Platform monthly reading list July 2023
2023 Release Wave 2
- Dynamics 365, Viva Sales (aka Microsoft Sales Copilot) and supply chain platform: 2023 release wave 2 plan - early access will be available on July 31th
- Microsoft Power Platform: 2023 release wave 2 plan
- Power Platform 2023 Release Wave 2 Highlights (YouTube)
- Dynamics 365 and Power Platform 2023 Release Wave 2 highlights (YouTube)
- Dynamics 365 Customer Service 2023 Release Wave 2 highlights (YouTube)
Technical topics (Configuration, customization and extensibility)
- ALM for Power Platform (March 2023 Washington user group recording)
- Analyse your solution dependencies in Dataverse with VSCode "PowerApps Helper" extension built by @MMe2K (Michael Megel)
- Power Apps Copilot (preview) feature ... Friend or Foe? (YouTube) by @dchristian19
- Azure Cost Management Power BI report (Github)
- Codename Project Bose: Calculate Azure Cost of an enterprise by cost centers, divisions and projects
- KQL Visualizations (YouTube)
- How to use invitation id of Customer Voice Survey invitation in Power Automate Flow by @inogic
- Use the Customer 360 component in Dynamics 365 Customer Service by @D365Goddess
- Additional capabilities in timeline view with Dynamics CRM
- Optimize performance for Create and Update operations (Microsoft Docs) - interesting update for data migration scenario using CreateMultiple and UpdateMultiple operations
- Dataverse long term data retention is finally available in preview - no info available yet on whether retained Dataverse records (offloaded to Data Lake) will still be billed at the same price as Dataverse storage.
- The Dataverse Accelerator is live on AppSource: https://aka.ms/dvaccelerator
- Discover the biggest Power Platform Announcements from Microsoft Build 2023 (YouTube) by @LisaCrosbie
- Azure Synapse Link for Dataverse : exporting to Delta Lake
- Kusto Detective Agency - learn KQL by playing a detective game
- Power Apps Data Sources Ranked! Which is best? YouTube video by Shane Young (@ShanesCows)
- New card visual in Power BI and Create a sparkline in the new card visual
- Take Customer Service to new heights with cross-geo support for Copilot
- Announcing monthly (release) channel for model-driven apps - release channels provide more choice for adopting new features. It seems that Dynamics 365 and Power Platform will allow to get features activated on a monthly basis
- Announcing public preview of IP firewall in Dataverse - only available for managed environments
- Microsoft Copilot readiness hub
- The importance of Orderby when retrieving more than 50K records from Dataverse
- Start using Azure Cost Management
Topics for Dynamics 365 Business Applications Platform consultants, project managers and power users
- Introducing Microsoft Dynamics 365 copilot
- Copilot in Viva Sales
- Dynamics 365 Implementation Portal now available
- A report on Global State of Customer Service sophistication
- Reshaping the future of business with Microsoft Sales Copilot, Dynamics 365 Customer Insights and a new cloud migration program
- Introducing AIM from Microsoft: Future-proof your business in the cloud
Wednesday, June 28, 2023
Cost optimization: older mails in Dataverse now stored in Dataverse File Storage
Back in April 2019, Microsoft introduced a tiered storage architecture. This tiered storage architecture allows Microsoft to use the most appropriate storage type for different types of data used in Dynamics 365 and Dataverse. Last month, Microsoft started moving the storage contents of the e-mail body (email.description) from more expensive Dataverse Database storage to cheaper Dataverse File Storage - for the official documentation check out Dataverse - Email activity tables -Email storage.
Based on the list prices I see in my personal tenant (see screenshot below) - this cuts the unit cost for additional capacity required for e-mails down from 37,4 €/GB/month to 1,87€/GB/month (Quite interesting how they still use the older name Common Data Service :-) )
Your pricing might defer based on the type of licensing agreement that you have. If you had to buy additional storage capacity in the past, you might want to revise your storage usage and the required storage capacity add-ons.
You can check out the storage capacity in the Power Platform Admin Center - I added an example from a specific instance were Dataverse storage for e-mails (see ActivityPointerBase table) from 63 GB to 30GB.
A the same time, we saw a new storage file type appearing called Email which grew to 3,8 GB. This is a lot less than the storage saved in the database since the data in file storage (Azure Blob Storage behind the scenes) is actually compressed.
All in all, a great job from Microsoft which might save you a lot of money. Don't hesitate to add a comments sharing your experience with this....
Friday, June 02, 2023
Microsoft Fabric Firehose
- Ask me Anything about Microsoft Fabric (Reddit)
- Getting started with Data Pipelines in Fabric Data Factory by radacad
- Microsoft Tutorial: Fabric for Power BI users
- What is Microsoft Fabric my point of view by PaulAndrew
- Why Microsoft is combining all its data analytics products into Fabric by @Infoworld
- What is Microsoft Fabric (Public Preview) on YouTube by @guyinacube
- Microsoft Fabric Launch Event (Day1) recording on YouTube (3h:20m) and Microsoft Fabric Launch Event Day 2 on YouTube ( 2h:25m)
- Azure Synapse Analytics versus Microsoft Fabric: a side by side comparison
- Killing me softly has Microsoft Fabric just overwritten Synapse Analytics?
- Eliminate data siloes with Fabric and Dynamics 365 (Dataverse announcements)
- Advancing Fabric - What is Microsoft Fabric? on YouTube (19m)
- Microsoft Fabric introduction blog post by by Advancing Analytics (@AdvAnalyticsUK) / Twitter
- Overcoming the Fear: exploring Microsoft Fabric from a Power BI angle
- Microsoft Fabric - Power BI announcements a visual overview
- Microsoft Fabric YouTube series
- How Microsoft Fabric aims to beat Amazon and Google in the cloud war by @Venturebeat
- How Lakehouse architecture is revolutionizing Business Intelligence
- Microsoft Fabric introduction video by @jameserra
- What is Microsoft Fabric and why should I care? by @NickyvV
- Unleashing the power of Microsoft Fabric for data engineers (YouTube) - great demo by Justyna Lucznik of the data engineering capabilities in under 10 minutes
- Microsoft Fabric Licensing: an ultimate guide by @RADACAD_COM
- Create your first Lakehouse in Microsoft Fabric (YouTube) by guyinacube
- Microsoft Fabric Notes - simple drawings illustrating the main concepts of Microsoft Fabric
- Microsoft Fabric in production - placeholder blog with list of features that @MrAndyCutler considers needed before using Microsoft Fabric in production.
- Lakehouse vs Warehouse vs Datamart - the difference between the three Fabric objects by @RADACAD_COM
- Fabric end-to-end use case: overview and architecture
- How to pause or start Microsoft Fabric Capacity automatically

























