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Building an End-to-End
Solution in Microsoft Fabric:
From Dataverse to Power BI
Cathrine Wilhelmsen, Emilie Rønning, Marthe Moengen
Thank You Sponsors!
Our sponsors make this event possible. Please thank and support them.
Microsoft Fabric is the newest and coolest kid in town and for good reasons. It brings together the
best features from Azure Data Factory, Azure Synapse Analytics and Power BI, making it easier than
ever to build analytical solutions. Join us as we walk through how to build an end-to-end lakehouse
solution in just one hour!
In this session, we will show you how to use Synapse Link to get near real-time data from Dataverse
and leverage the power of Notebooks to prepare and optimize the data for the lakehouse medallion
architecture. Then, we will use that data to build stunning visualizations in Power BI that provide
valuable insights. Finally, we will introduce the new Data Activator tool, an innovative component of
Microsoft Fabric that empowers business analysts to drive actions based on data automatically.
Don't miss this opportunity to experience Microsoft Fabric's game-changing potential firsthand and
learn how it can revolutionize your analytics workflow.
Building an End-to-End Solution in Microsoft Fabric:
From Dataverse to Power BI
Cathrine Wilhelmsen Emilie Rønning
Solutions Architect and Tech Lead
Evidi
@cathrinew
• The OG of anything in the
Norwegian data community
• Fabric February
Azure, Fabric, Azure Data Factory,
Azure Synapse Analytics
Senior Data Engineer
QUARKS
@EmilieRonning
• Data Saturday Oslo
• MDPUG Norway
• Fabric February
Azure, Databricks, Azure
Data Factory, Architecture
Managing Data Analyst
Sopra Steria
@mmoengen
• Data Saturday Oslo
• MDPUG Norway
• WITs Who Lunch
• Fabric February
Azure, Architecture,
Databricks, Governance,
MDM, Fabric, Power BI
Marthe Moengen
Our client has a website
where hosts can list their
homes for short-term or
long-term stays.
What does our client need?
They need to be able to:
• Manage Hosts
• Gain insight into stays
Let’s call them «AirBnB»
Common end-to-end scenario:
1. Ingest
2. Transform
3. Visualize
4. Take Action
What will we build today?
Common end-to-end scenario:
1. Ingest
2. Transform
3. Visualize
4. Take Action
How will we build it today?
Fabric Overview
Data
Factory
Data
Engineering
Data
Warehouse
Data
Science
Real-Time
Analytics
Power
BI
Data
Activator
Unified Data Foundation with OneLake
Data Governance with Microsoft Purview
Fabric Components
Data Engineering: Store big data in
lakehouses for querying, reporting and sharing.
Data Warehousing: Store relational data for
querying, reporting and sharing.
Data Science: Use machine learning to detect
trends, identify outliers and predict values.
Real-Time Analytics: Rapidly capture and load
streaming data for querying.
Data Factory: Ingest, clean, transform and
prepare data.
Power BI: Create reports and dashboards to
gain insights.
Data Activator: Create reports and
dashboards to gain insights.
Our Solution
1. Add / edit data in Power App
2. Store data in Dataverse
3. Replicate data to OneLake
using Synapse Link
End-to-End
Dataverse OneLake Lakehouse Power BI Data Activator
Power Apps
4. Transform data in Lakehouse
5. Visualize data in Power BI
6. Take action on data
using Data Activator
data-ascend.com
Ingest Data
Our Solution
1. Add / edit data in Power App
2. Store data in Dataverse
3. Replicate data to OneLake
using Synapse Link
End-to-End
Dataverse OneLake Lakehouse Power BI Data Activator
Power Apps
4. Transform data in Lakehouse
5. Visualize data in Power BI
6. Take action on data
using Data Activator
Cathrine
https://blog.fabric.microsoft.com/en-us/blog/microsoft-onelake-adds-shortcut-support-to-power-platform-and-dynamics-365
Demo: Power App
Demo: Dataverse Link to Fabric
data-ascend.com
Transform Data
Our Solution
1. Add / edit data in Power App
2. Store data in Dataverse
3. Replicate data to OneLake
using Synapse Link
End-to-End
Dataverse OneLake Lakehouse Power BI Data Activator
Power Apps
4. Transform data in Lakehouse
5. Visualize data in Power BI
6. Take action on data
using Data Activator
Emilie
Our Solution
1. Add / edit data in Power App
2. Store data in Dataverse
3. Replicate data to OneLake
using Synapse Link
End-to-End
Dataverse OneLake Lakehouse Power BI Data Activator
Power Apps
4. Transform data in Lakehouse
5. Visualize data in Power BI
6. Take action on data
using Data Activator
Emilie
Transforming Data
Structured, Semi structured
and unstructured data
Data turned into actionable
insights
MAGIC
Transforming Data
Microsoft Fabric Lakehouse
“A data architecture platform
for storing, managing, and
analyzing structured and
unstructured data in a single
location”
Overview of Lakehouse Medallion Architecture
The landing
zone for all
data, stored in
its original
format
BRONZE
The layer of
validated and
refined data
SILVER
The layer of enriched
data specified for
business and analytics
needs
GOLD
Demo: Lakehouse, Notebooks and
Pipelines
data-ascend.com
Visualize Data
Our Solution
1. Add / edit data in Power App
2. Store data in Dataverse
3. Replicate data to OneLake
using Synapse Link
End-to-End
Dataverse OneLake Lakehouse Power BI Data Activator
Power Apps
4. Transform data in Lakehouse
5. Visualize data in Power BI
6. Take action on data
using Data Activator
Marthe
Our Solution
1. Add / edit data in Power App
2. Store data in Dataverse
3. Replicate data to OneLake
using Synapse Link
End-to-End
Dataverse OneLake Lakehouse Power BI Data Activator
Power Apps
4. Transform data in Lakehouse
5. Visualize data in Power BI
6. Take action on data
using Data Activator
Marthe
Visualize data in Power BI
Model our
data
First we need to: Second we need to:
Visualize our data
Demo: Power BI
data-ascend.com
Take Action on
Data with Data
Activator
Our Solution
1. Add / edit data in Power App
2. Store data in Dataverse
3. Replicate data to OneLake
using Synapse Link
End-to-End
Dataverse OneLake Lakehouse Power BI Data Activator
Power Apps
4. Transform data in Lakehouse
5. Visualize data in Power BI
6. Take action on data
using Data Activator
Marthe
How can I automate monitoring and
prompt action?
Take Action on Data with Data Activator
Core concepts
What to do
Objects
What you
want to
monitor
Triggers
What to
detect on
the object
Events
Data is
being
updated
Properties
Reuse
logic
Select Detect
Create
a reflex
Act
Demo: Data Activator
Lessons Learned
(Getting SaaSy with Fabric)
C2 - Restricted use
Want to learn more about Fabric?
www.fabricfebruary.com
Join us February 8th, 2024 • Oslo, Norway
Thank you!
Emilie Rønning
@EmilieRonning
Marthe Moengen
@mmoengen
Cathrine Wilhelmsen
@cathrinew
Building an End-to-End
Solution in Microsoft Fabric:
From Dataverse to Power BI
Cathrine Wilhelmsen, Emilie Rønning, Marthe Moengen

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Building an End-to-End Solution in Microsoft Fabric: From Dataverse to Power BI (SQLSaturday Oregon 2023)

  • 1. Building an End-to-End Solution in Microsoft Fabric: From Dataverse to Power BI Cathrine Wilhelmsen, Emilie Rønning, Marthe Moengen
  • 2. Thank You Sponsors! Our sponsors make this event possible. Please thank and support them.
  • 3. Microsoft Fabric is the newest and coolest kid in town and for good reasons. It brings together the best features from Azure Data Factory, Azure Synapse Analytics and Power BI, making it easier than ever to build analytical solutions. Join us as we walk through how to build an end-to-end lakehouse solution in just one hour! In this session, we will show you how to use Synapse Link to get near real-time data from Dataverse and leverage the power of Notebooks to prepare and optimize the data for the lakehouse medallion architecture. Then, we will use that data to build stunning visualizations in Power BI that provide valuable insights. Finally, we will introduce the new Data Activator tool, an innovative component of Microsoft Fabric that empowers business analysts to drive actions based on data automatically. Don't miss this opportunity to experience Microsoft Fabric's game-changing potential firsthand and learn how it can revolutionize your analytics workflow. Building an End-to-End Solution in Microsoft Fabric: From Dataverse to Power BI
  • 4. Cathrine Wilhelmsen Emilie Rønning Solutions Architect and Tech Lead Evidi @cathrinew • The OG of anything in the Norwegian data community • Fabric February Azure, Fabric, Azure Data Factory, Azure Synapse Analytics Senior Data Engineer QUARKS @EmilieRonning • Data Saturday Oslo • MDPUG Norway • Fabric February Azure, Databricks, Azure Data Factory, Architecture Managing Data Analyst Sopra Steria @mmoengen • Data Saturday Oslo • MDPUG Norway • WITs Who Lunch • Fabric February Azure, Architecture, Databricks, Governance, MDM, Fabric, Power BI Marthe Moengen
  • 5. Our client has a website where hosts can list their homes for short-term or long-term stays. What does our client need? They need to be able to: • Manage Hosts • Gain insight into stays Let’s call them «AirBnB»
  • 6. Common end-to-end scenario: 1. Ingest 2. Transform 3. Visualize 4. Take Action What will we build today?
  • 7. Common end-to-end scenario: 1. Ingest 2. Transform 3. Visualize 4. Take Action How will we build it today?
  • 9. Fabric Components Data Engineering: Store big data in lakehouses for querying, reporting and sharing. Data Warehousing: Store relational data for querying, reporting and sharing. Data Science: Use machine learning to detect trends, identify outliers and predict values. Real-Time Analytics: Rapidly capture and load streaming data for querying. Data Factory: Ingest, clean, transform and prepare data. Power BI: Create reports and dashboards to gain insights. Data Activator: Create reports and dashboards to gain insights.
  • 10. Our Solution 1. Add / edit data in Power App 2. Store data in Dataverse 3. Replicate data to OneLake using Synapse Link End-to-End Dataverse OneLake Lakehouse Power BI Data Activator Power Apps 4. Transform data in Lakehouse 5. Visualize data in Power BI 6. Take action on data using Data Activator
  • 12. Our Solution 1. Add / edit data in Power App 2. Store data in Dataverse 3. Replicate data to OneLake using Synapse Link End-to-End Dataverse OneLake Lakehouse Power BI Data Activator Power Apps 4. Transform data in Lakehouse 5. Visualize data in Power BI 6. Take action on data using Data Activator Cathrine
  • 15. Demo: Dataverse Link to Fabric
  • 17. Our Solution 1. Add / edit data in Power App 2. Store data in Dataverse 3. Replicate data to OneLake using Synapse Link End-to-End Dataverse OneLake Lakehouse Power BI Data Activator Power Apps 4. Transform data in Lakehouse 5. Visualize data in Power BI 6. Take action on data using Data Activator Emilie
  • 18. Our Solution 1. Add / edit data in Power App 2. Store data in Dataverse 3. Replicate data to OneLake using Synapse Link End-to-End Dataverse OneLake Lakehouse Power BI Data Activator Power Apps 4. Transform data in Lakehouse 5. Visualize data in Power BI 6. Take action on data using Data Activator Emilie
  • 19. Transforming Data Structured, Semi structured and unstructured data Data turned into actionable insights MAGIC
  • 20. Transforming Data Microsoft Fabric Lakehouse “A data architecture platform for storing, managing, and analyzing structured and unstructured data in a single location”
  • 21. Overview of Lakehouse Medallion Architecture The landing zone for all data, stored in its original format BRONZE The layer of validated and refined data SILVER The layer of enriched data specified for business and analytics needs GOLD
  • 22. Demo: Lakehouse, Notebooks and Pipelines
  • 24. Our Solution 1. Add / edit data in Power App 2. Store data in Dataverse 3. Replicate data to OneLake using Synapse Link End-to-End Dataverse OneLake Lakehouse Power BI Data Activator Power Apps 4. Transform data in Lakehouse 5. Visualize data in Power BI 6. Take action on data using Data Activator Marthe
  • 25. Our Solution 1. Add / edit data in Power App 2. Store data in Dataverse 3. Replicate data to OneLake using Synapse Link End-to-End Dataverse OneLake Lakehouse Power BI Data Activator Power Apps 4. Transform data in Lakehouse 5. Visualize data in Power BI 6. Take action on data using Data Activator Marthe
  • 26. Visualize data in Power BI Model our data First we need to: Second we need to: Visualize our data
  • 28. data-ascend.com Take Action on Data with Data Activator
  • 29. Our Solution 1. Add / edit data in Power App 2. Store data in Dataverse 3. Replicate data to OneLake using Synapse Link End-to-End Dataverse OneLake Lakehouse Power BI Data Activator Power Apps 4. Transform data in Lakehouse 5. Visualize data in Power BI 6. Take action on data using Data Activator Marthe
  • 30. How can I automate monitoring and prompt action?
  • 31. Take Action on Data with Data Activator Core concepts What to do Objects What you want to monitor Triggers What to detect on the object Events Data is being updated Properties Reuse logic Select Detect Create a reflex Act
  • 34. C2 - Restricted use Want to learn more about Fabric? www.fabricfebruary.com Join us February 8th, 2024 • Oslo, Norway
  • 35. Thank you! Emilie Rønning @EmilieRonning Marthe Moengen @mmoengen Cathrine Wilhelmsen @cathrinew
  • 36. Building an End-to-End Solution in Microsoft Fabric: From Dataverse to Power BI Cathrine Wilhelmsen, Emilie Rønning, Marthe Moengen