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29TH NOVEMBER – 1ST DECEMBER 2021
Isabelle Van Campenhoudt
Serge Luca
Power Platform Associates
HOW TO CHOOSE BETWEEN SHAREPOINT LISTS, SQL AZURE,
MICROSOFT DATAVERSE
♡ DIAMOND AND PLATINUM SPONSORS ♡
Isabelle Van Campenhoudt
Data Platform MVP, Brussels
Consultant, Speaker Trainer, Community Leader
SQL server since 1999
SharePoint BI & Power BI since it starts
Blog: theSQLGrrrl.wordpress.com
ivc@shareql.com
Twitter: @theSQLgrrrl
SQL
BI
Tuning
Architecture
Coffee making
Doctor Flow aka “Serge Luca”
Business Application MVP, Brussels
MVP 15th year
Business Apps, Office 365 Solution architect
Creator of the open-source Power Platform BPM Toolkit
Author of “Power Automate in a day”
Blog: sergeluca.wordpress.com
sergeluca@shareql.com
Twitter: @sergeluca
Agenda
Power Platform overview
What you really need to know about Dataverse
Dataverse versus SQL, SharePoint [Go-No Features]
Dataverse versus SQL, SharePoint [Cherry on the cake features]
Conclusions
Power Platform
Overview
Overview of the Power Platform
In our Power Platform+ governance check list :
Connectors
• More than 480 connectors
• Connectors to
• Dataverse
• SQL server (cloud and on premises)
• SharePoint (cloud and on premises)
Where to start
Advice : if you have existing data
somewhere, keep it where it is
• There are connectors
• On premises : use the on-
premises data gateway
The question is : what should I
chose if I start from scratch ?
Go–No Go features
Storage​ Performance​ Real time​
Api calls/
connection​
RPO/RTO​
Price​
Document
storage &
management​
Transaction​s Silos
Power Apps
Portal​
Model driven
apps​
Complex
relational
model​
AI Builder​
Security Field
level security​
Security : record
sharing​/row
level security
What your really
need to know about
Dataverse
Microsoft Dataverse – what´s in the box?
API
It is much more than a database
• Storage
• Application Server
• Back-end of Dynamics 365
2 configurations
• Dataverse
Not free
• Dataverse for Teams
"Free" with Microsoft 365
Limitations
Dataverse
Compute Storage
oData
web api
Dataverse. . . Runs on Azure
Dataverse
Compute Eventing + Extensibility
Storage
Dataverse. . . Extends with Azure
Dataverse for Teams
How can we use Dataverse
Create an
environment
Create a table
Secure the table
(who can do what)
Call the oData Web
api Directly or
indirectly
(connectors)
Call the Dataverse oData Web api directly
Call Dataverse by using the Dataverse connector
1 table in Dataverse = 1 table in Azure SQL
FetchXML = the SQL language of Dataverse
https://docs.microsoft.com/en-us/powerapps/developer/data-
platform/use-fetchxml-left-outer-join-query-records-not-in
Generate FetchXML
FetchXML
Builder
SQL4CDS
XrmToolBox
Go-No Go comparison
criterias
Price : you get what you pay for
Each end user interacting with DV Or SQL must have a premium license
Power Apps Per app license: 1 app 1000 employees x4,20€/month x 12 months =
50.400 €/Year
Power Apps Per user license: Unlimited apps 1000 employees x16,20€/month x 12
months = 194.400 €/year
Pay as you go : 8,20€/month/employee/used application in the month
Azure SQL SharePoint Dataverse Dataverse for Teams
Each end user must
pay:
Premium + Storage M365 License Premium M365 License
Dataverse storage price
Dataverse storage
• Database
• Logs
• Files
Premium Licences give storage
• Power Apps per user: 10 GB Db, 20 GB Files, 2 GB logs
Buy add-ons to have more storage
• 2 GB
• 1 millions rows
Saas/Paas
Azure SQL SharePoint Dataverse Dataverse for Teams
PaaS SaaS SaaS​ SaaS​
Storage capacity
Azure SQL
• SQL​
• “unlimited”
SharePoint
• meta model
on top of SQL
& Azure Blob
storage​
• “unlimited”​
(30 M/List)
Dataverse
• SQL, Cosmos
DB, Azure
Blob Storage​
• “unlimited”​
Dataverse for
Teams
• SQL, Cosmos
DB, Azure
Blob Storage​
• 1 M rows, 2
GB​
Business continuity
Azure SQL SharePoint Dataverse Dataverse for Teams
SLA:99,99%
RPO 5-10 min
RTO <12h
PITR 1-365
geo replication and
LTR 10 years
SLA:99,9% SLA
Backups every 12
hours
Records retention : 90
days retention (Recycle
Bin)
SLA :99,9%
RPO :5-10 min
Backups expires after 7
days
SLA :99,9%
RPO :5-10 min
Backups expires after 7
days
Third party tools can be purchased to extend the backup retention period (Dataverse and
SP)
SLA= Service Level Agrement
RTO = Recovery Time Objective
RPO = Recovery Point Objective
LTR = Long Term Rention
PITR =Point in Time Restore
99,9% = 8h45 downtime a year
99,99% = 58 minutes a year
Performance & throttling
Azure SQL SharePoint Dataverse Dataverse for Teams
Performance​ Very high​ Average​ Very high​ Very high​
Api calls/ connection​ 3000/60sec 600/60 sec​ 1200/60 sec 1200/60 sec
Extensibility
Azure SQL SharePoint Dataverse Dataverse for Teams
Extensibility
Trigger, Stored proc,
Power Automate
Power Automate
SharePoint Framework
Workflows, plugins,
rollups, Power
Automate, jobs​
Power Automate,
Power Fx in the DB​
DEMO
Extensibility in Dataverse : Rollup fields
Extensibility in Dataverse : Power Automate
Extensibility in Dataverse for Teams
Power Fx Formulas in the Database
Security
Azure SQL SharePoint Dataverse
Dataverse for
Teams
Role Based
Security
**** **** ***** ***
Record Sharing Yes Yes Yes No
Field Level
Security
Yes No Yes No
Hierarchy No No Yes No
Security roles in Dataverse
• When a record is created, defines who can
• Create
• Read
• Modify (Write)
• Own (Assign)
• Share with someone else
HR
(Manager)
Sales
Org (Power Platform
Associates)
HR Belgium HR China
User 2 User 3
User 1
Hierarchical security : based on hierarchy
Hierarchical security : based on position
Dataverse for Teams Security
Transactions
Azure SQL SharePoint Dataverse Dataverse for Teams
Transactions Yes No Yes Yes
Transactions
Applications that require Dataverse
Power Apps
Portal
Model Driven
Apps
AI Builder
Dataverse (not DV4T!)
Applications requiring Dataverse
Azure SQL SharePoint
Power Apps Portal Via Power Automate Via Power Automate
Model Driven Apps Via Power Automate Via Power Automate
AI Builder No No
Cherry on the cake
Dataflows
Azure Data
Lake
Synapse
Any
data
source
Any
data
source
Dynamics
365 Apps
Power
Apps
Power
Automate
Power Virtual
Agent
Power BI
Standard dataflows ( V1 & V2)
Analytical dataflows
Dataverse
Copy
Combine
Transform
Refresh
(Power Query
Online)
Dataflow integration
Dataverse connectors
Dataverse for Teams connectors
Off-line support
Azure SQL SharePoint Dataverse Dataverse for Teams
Off-line
To be implemented in
client app
To be implemented in
client app
Out of the box No
Dataverse relevance search
Entities can be indexed + crawled and be searched
The internal engine is Azure Cognitive Search
Document in entities can be indexed too
The (Apache) Lucerne query syntax can be used
• Fuzzy search, proximity search,…
• https://docs.microsoft.com/en-us/azure/search/query-lucene-
syntax
Auditing
Auditing at the environment level
Auditing at the table level
Auditing at the field level
Activity logging
Conclusions
Conclusions
Keep your data where it is
You cannot be wrong by using SQL Azure
In most case Dataverse is a great SaaS solution
It gives you many Dynamics 365 features
You can combine
You can upgrade from DV4T to DV
SQL/SharePoint/Dataverse
Dataverse for Teams and SharePoint
Dataverse is not a toy
thank you
questions?
BLOG URL
TWITTER HANDLE
Performance
https://www.youtube.com/watch?v=IvTiAanB3Cs&t=10s

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How to choose between SharePoint lists, SQL Azure, Microsoft Dataverse with Doctor Flow and Isa

Editor's Notes

  1. What is truly Dataverse? Not a toy , not a new Access What are the criteria to choose the solution or defend your choice Understanding the criteria implications--- the devil is in the details Find out what can potentially block your project “NoGo” Conclusions
  2. Language used in Power Apps = Power Fx Language used in Power Automate = Logic Apps + Power Fx in 2022
  3. 17
  4. 18
  5. https://org0b5d1649.crm4.dynamics.com/api/data/v9.1/shareql_expenseses
  6. Animations are ok
  7. Show sql server
  8. https://docs.microsoft.com/en-us/powerapps/developer/data-platform/use-fetchxml-left-outer-join-query-records-not-in
  9. https://docs.microsoft.com/en-us/power-platform/admin/business-continuity-disaster-recovery TODO ISA : expliquer En Azure SQL, quelles sont les options qui permettent quasiment d’être en SaaS ? Les options automatiques sont typiquement Paas: mise a jours, aavailability, monitoring auditing et scalability. Parc ontre il n’y a pas d’aide particulière à “l’interieur” de l’outil Ca requiert donc une connaissance de SQL dev– mais pas trop d’admin ou en tout cas c’est vachement allege Voir: https://docs.microsoft.com/en-us/azure/azure-sql/database/sql-database-paas-overview Outils:
  10. SharePoint meta model = several SP list combined in one SQL Table -> more contention TODO serge check dataverse max size
  11. SharePoint meta model = several SP list combined in one SQL Table -> more contention TODO serge demo
  12. SharePoint meta model = several SP list combined in one SQL Table -> more contention TODO serge demo
  13. SharePoint meta model = several SP list combined in one SQL Table -> more contention TODO serge demo
  14. SharePoint meta model = several SP list combined in one SQL Table -> more contention
  15. If we define a security role with ‘Business unit’ and we apply this role to HR. People of HR won’t see the data generated by people from HR Belgium and HR China If we define a security role with ‘Parent child Business uni’t and we apply this role to HR.
  16. If we define a security role with ‘Business unit’ and we apply this role to HR. People of HR won’t see the data generated by people from HR Belgium and HR China If we define a security role with ‘Parent child Business uni’t and we apply this role to HR.
  17. SharePoint meta model = several SP list combined in one SQL Table -> more contention
  18. SharePoint meta model = several SP list combined in one SQL Table -> more contention
  19. https://docs.microsoft.com/en-us/power-query/dataflows/dataflows-teams
  20. There is an api and the first thing that happens when we hit this api is to trigger the security layer
  21. Staffing, culture