SlideShare a Scribd company logo
1 of 46
Download to read offline
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
You are a
data engineer
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
You are starting
a new project
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Which tool
do you use?
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Azure Data Factory?
Azure Synapse Analytics?
Microsoft Fabric?
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
It Depends
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
What does it
depend on?
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Let's take
a look!
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Choosing Between
Microsoft Fabric,
Azure Synapse Analytics
and Azure Data Factory
Cathrine Wilhelmsen
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Session Description
You're starting a new project where you need to ingest, store, transform and prepare data. Business
users have already decided that they want to use Power BI (of course), but you need to decide
which service to use for the data integration layer.
Do you choose:
• Azure Data Factory?
• Azure Synapse Analytics?
• Microsoft Fabric?
If you're not sure what the right answer is for your project, then this session is for you!
We will start with an overview of the three services and the most common architectures where they
shine. Then, we will compare their capabilities and features, and list the most important factors for
deciding which one is right for our project. Finally, because we all know we will be asked "how much
will it cost?", we will look at the pricing model for each service.
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
@cathrinew
cathrinew.net
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Azure
Data Factory
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
What is Azure Data Factory?
Standalone service for:
• Data Integration
• Workflow Orchestration
• Scheduling
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Ingest Data Transform Data
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Orchestrate
Workflows
Ingest Data Transform Data
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Azure Synapse
Analytics
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
What is Azure Synapse Analytics?
Unified analytics platform:
• Data Integration
• Data Lake
• Data Warehousing
• Big Data Analytics
• Time-Series Analytics
• Data Science
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
What is Azure Synapse Analytics?
Three engines:
• SQL Pools
(Dedicated / Serverless)
• Spark
• Data Explorer
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
What is Azure Synapse Analytics?
Pick and choose which
components to use!
Can be used for small,
cost-effective solutions
Or enterprise-scale,
expensive solutions
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Synapse Dedicated SQL
Data Warehousing with
complete control of:
• Distribution
• Partitioning
• Indexing
• Workloads
Enterprise-grade
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Synapse Serverless SQL
Query files using SQL:
• CSV Files
• Parquet Files
• JSON Files
Can be very cheap!
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Microsoft
Fabric
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
How is Microsoft Fabric different?
New, shiny icons!
(Ok, it’s more than just the icons…)
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
How is Microsoft Fabric different?
Same concept, new
underlying architecture
Same functionality,
different users and
scenarios
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
OneLake storing one copy of all your data in an open format
Built-in security, governance and compliance
Data
Factory
Data
Engineering
Data
Warehouse
Data
Science
Real-Time
Analytics
Power
BI
Data
Activator
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Decision factors
How do you choose?
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
What kind of architecture?
• Data Lake
• Data Warehouse
• Data Lakehouse
• Data Mesh
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Who are the users?
• IT Professionals
• Power Users
• Business Users
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
How many solutions?
• Single Solution
• Distributed Solution
• Client Projects
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Pricing
How much will it cost?
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Azure Data Factory
Pay-as-you-go:
• Operations
• Orchestration
• Pipeline Activities
• Data Movement
• Data Transformations
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Azure Synapse Analytics
Pay-as-you-go:
• Data Integration
• Spark Pools
• Data Explorer Pools
• Dedicated SQL Pools
• Serverless SQL Pools
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Microsoft Fabric
Pay-as-you-go:
• Pay-per-second
• Scale / Pause / Resume at higher cost
Reserved pricing:
• Pay monthly or yearly (monthly commitment)
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Let’s compare!
Answers to common questions
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Are Azure Data Factory and
Azure Synapse Analytics dead?
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Should I always use
Microsoft Fabric?
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Which one do you choose?
Standalone Service
Data Integration
Analytics Platform
From a Technical Perspective
All-in-one Service
From a Business Perspective
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Which one do you choose?
© 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
Thank you!
hi@cathrinew.net
@cathrinew
cathrinew.net

More Related Content

Similar to Choosing Between Microsoft Fabric, Azure Synapse Analytics and Azure Data Factory (SQLBits 2024)

Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Wo...
Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Wo...Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Wo...
Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Wo...DataWorks Summit
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Cathrine Wilhelmsen
 
Keith Prabhu - Big Data Cloud Computing
Keith Prabhu - Big Data Cloud ComputingKeith Prabhu - Big Data Cloud Computing
Keith Prabhu - Big Data Cloud Computingadministrator_confidis
 
Pipelines and Packages: Introduction to Azure Data Factory (24HOP)
Pipelines and Packages: Introduction to Azure Data Factory (24HOP)Pipelines and Packages: Introduction to Azure Data Factory (24HOP)
Pipelines and Packages: Introduction to Azure Data Factory (24HOP)Cathrine Wilhelmsen
 
Building Dynamic Pipelines in Azure Data Factory (SQLSaturday Oslo)
Building Dynamic Pipelines in Azure Data Factory (SQLSaturday Oslo)Building Dynamic Pipelines in Azure Data Factory (SQLSaturday Oslo)
Building Dynamic Pipelines in Azure Data Factory (SQLSaturday Oslo)Cathrine Wilhelmsen
 
Webinar: How Active Everywhere Database Architecture Accelerates Hybrid Cloud...
Webinar: How Active Everywhere Database Architecture Accelerates Hybrid Cloud...Webinar: How Active Everywhere Database Architecture Accelerates Hybrid Cloud...
Webinar: How Active Everywhere Database Architecture Accelerates Hybrid Cloud...DataStax
 
Scaling Your SaaS with Analytics-Driven Insights and Wavefront Integrations f...
Scaling Your SaaS with Analytics-Driven Insights and Wavefront Integrations f...Scaling Your SaaS with Analytics-Driven Insights and Wavefront Integrations f...
Scaling Your SaaS with Analytics-Driven Insights and Wavefront Integrations f...Amazon Web Services
 
Migrating On-Premises Workloads with Azure Migrate
Migrating On-Premises Workloads with Azure MigrateMigrating On-Premises Workloads with Azure Migrate
Migrating On-Premises Workloads with Azure MigrateDinusha Kumarasiri
 
Pipelines and Packages: Introduction to Azure Data Factory (DATA:Scotland 2019)
Pipelines and Packages: Introduction to Azure Data Factory (DATA:Scotland 2019)Pipelines and Packages: Introduction to Azure Data Factory (DATA:Scotland 2019)
Pipelines and Packages: Introduction to Azure Data Factory (DATA:Scotland 2019)Cathrine Wilhelmsen
 
The Heart of the Data Mesh Beats in Real-Time with Apache Kafka
The Heart of the Data Mesh Beats in Real-Time with Apache KafkaThe Heart of the Data Mesh Beats in Real-Time with Apache Kafka
The Heart of the Data Mesh Beats in Real-Time with Apache KafkaKai Wähner
 
Start your datacentre transformation journey with azure migrate
Start your datacentre transformation journey with azure migrateStart your datacentre transformation journey with azure migrate
Start your datacentre transformation journey with azure migrateSarah Lean
 
Data Warehousing in the Cloud: Practical Migration Strategies
Data Warehousing in the Cloud: Practical Migration Strategies Data Warehousing in the Cloud: Practical Migration Strategies
Data Warehousing in the Cloud: Practical Migration Strategies SnapLogic
 
Cloudera + Syncsort: Fuel Business Insights, Analytics, and Next Generation T...
Cloudera + Syncsort: Fuel Business Insights, Analytics, and Next Generation T...Cloudera + Syncsort: Fuel Business Insights, Analytics, and Next Generation T...
Cloudera + Syncsort: Fuel Business Insights, Analytics, and Next Generation T...Precisely
 
VMworld 2013: How to Build a Hybrid Cloud in Less than a Day
VMworld 2013: How to Build a Hybrid Cloud in Less than a Day VMworld 2013: How to Build a Hybrid Cloud in Less than a Day
VMworld 2013: How to Build a Hybrid Cloud in Less than a Day VMworld
 
Migracion a Azure aspecto importantes a tomar en cuenta
Migracion a Azure aspecto importantes a tomar en cuentaMigracion a Azure aspecto importantes a tomar en cuenta
Migracion a Azure aspecto importantes a tomar en cuentaUrielTijerino1
 
Enterprise Cloud Data Platforms - with Microsoft Azure
Enterprise Cloud Data Platforms - with Microsoft AzureEnterprise Cloud Data Platforms - with Microsoft Azure
Enterprise Cloud Data Platforms - with Microsoft AzureKhalid Salama
 
Escape the veeam 'virtual only' data protection prison
Escape the veeam 'virtual only' data protection prisonEscape the veeam 'virtual only' data protection prison
Escape the veeam 'virtual only' data protection prisonVeritas Technologies LLC
 
Transformation of IT Spending
Transformation of IT SpendingTransformation of IT Spending
Transformation of IT SpendingKokLeong Ong
 
The Future of Mainframe Data Is in the Cloud
The Future of Mainframe Data Is in the CloudThe Future of Mainframe Data Is in the Cloud
The Future of Mainframe Data Is in the CloudPrecisely
 

Similar to Choosing Between Microsoft Fabric, Azure Synapse Analytics and Azure Data Factory (SQLBits 2024) (20)

Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Wo...
Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Wo...Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Wo...
Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Wo...
 
Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)Data Factory in Microsoft Fabric (MsBIP #82)
Data Factory in Microsoft Fabric (MsBIP #82)
 
Keith Prabhu - Big Data Cloud Computing
Keith Prabhu - Big Data Cloud ComputingKeith Prabhu - Big Data Cloud Computing
Keith Prabhu - Big Data Cloud Computing
 
Pipelines and Packages: Introduction to Azure Data Factory (24HOP)
Pipelines and Packages: Introduction to Azure Data Factory (24HOP)Pipelines and Packages: Introduction to Azure Data Factory (24HOP)
Pipelines and Packages: Introduction to Azure Data Factory (24HOP)
 
Building Dynamic Pipelines in Azure Data Factory (SQLSaturday Oslo)
Building Dynamic Pipelines in Azure Data Factory (SQLSaturday Oslo)Building Dynamic Pipelines in Azure Data Factory (SQLSaturday Oslo)
Building Dynamic Pipelines in Azure Data Factory (SQLSaturday Oslo)
 
ACE_MAY2022.pptx
ACE_MAY2022.pptxACE_MAY2022.pptx
ACE_MAY2022.pptx
 
Webinar: How Active Everywhere Database Architecture Accelerates Hybrid Cloud...
Webinar: How Active Everywhere Database Architecture Accelerates Hybrid Cloud...Webinar: How Active Everywhere Database Architecture Accelerates Hybrid Cloud...
Webinar: How Active Everywhere Database Architecture Accelerates Hybrid Cloud...
 
Scaling Your SaaS with Analytics-Driven Insights and Wavefront Integrations f...
Scaling Your SaaS with Analytics-Driven Insights and Wavefront Integrations f...Scaling Your SaaS with Analytics-Driven Insights and Wavefront Integrations f...
Scaling Your SaaS with Analytics-Driven Insights and Wavefront Integrations f...
 
Migrating On-Premises Workloads with Azure Migrate
Migrating On-Premises Workloads with Azure MigrateMigrating On-Premises Workloads with Azure Migrate
Migrating On-Premises Workloads with Azure Migrate
 
Pipelines and Packages: Introduction to Azure Data Factory (DATA:Scotland 2019)
Pipelines and Packages: Introduction to Azure Data Factory (DATA:Scotland 2019)Pipelines and Packages: Introduction to Azure Data Factory (DATA:Scotland 2019)
Pipelines and Packages: Introduction to Azure Data Factory (DATA:Scotland 2019)
 
The Heart of the Data Mesh Beats in Real-Time with Apache Kafka
The Heart of the Data Mesh Beats in Real-Time with Apache KafkaThe Heart of the Data Mesh Beats in Real-Time with Apache Kafka
The Heart of the Data Mesh Beats in Real-Time with Apache Kafka
 
Start your datacentre transformation journey with azure migrate
Start your datacentre transformation journey with azure migrateStart your datacentre transformation journey with azure migrate
Start your datacentre transformation journey with azure migrate
 
Data Warehousing in the Cloud: Practical Migration Strategies
Data Warehousing in the Cloud: Practical Migration Strategies Data Warehousing in the Cloud: Practical Migration Strategies
Data Warehousing in the Cloud: Practical Migration Strategies
 
Cloudera + Syncsort: Fuel Business Insights, Analytics, and Next Generation T...
Cloudera + Syncsort: Fuel Business Insights, Analytics, and Next Generation T...Cloudera + Syncsort: Fuel Business Insights, Analytics, and Next Generation T...
Cloudera + Syncsort: Fuel Business Insights, Analytics, and Next Generation T...
 
VMworld 2013: How to Build a Hybrid Cloud in Less than a Day
VMworld 2013: How to Build a Hybrid Cloud in Less than a Day VMworld 2013: How to Build a Hybrid Cloud in Less than a Day
VMworld 2013: How to Build a Hybrid Cloud in Less than a Day
 
Migracion a Azure aspecto importantes a tomar en cuenta
Migracion a Azure aspecto importantes a tomar en cuentaMigracion a Azure aspecto importantes a tomar en cuenta
Migracion a Azure aspecto importantes a tomar en cuenta
 
Enterprise Cloud Data Platforms - with Microsoft Azure
Enterprise Cloud Data Platforms - with Microsoft AzureEnterprise Cloud Data Platforms - with Microsoft Azure
Enterprise Cloud Data Platforms - with Microsoft Azure
 
Escape the veeam 'virtual only' data protection prison
Escape the veeam 'virtual only' data protection prisonEscape the veeam 'virtual only' data protection prison
Escape the veeam 'virtual only' data protection prison
 
Transformation of IT Spending
Transformation of IT SpendingTransformation of IT Spending
Transformation of IT Spending
 
The Future of Mainframe Data Is in the Cloud
The Future of Mainframe Data Is in the CloudThe Future of Mainframe Data Is in the Cloud
The Future of Mainframe Data Is in the Cloud
 

More from Cathrine Wilhelmsen

Getting Started: Data Factory in Microsoft Fabric (Microsoft Fabric Community...
Getting Started: Data Factory in Microsoft Fabric (Microsoft Fabric Community...Getting Started: Data Factory in Microsoft Fabric (Microsoft Fabric Community...
Getting Started: Data Factory in Microsoft Fabric (Microsoft Fabric Community...Cathrine Wilhelmsen
 
Data Integration with Data Factory (Microsoft Fabric Day Oslo 2023)
Data Integration with Data Factory (Microsoft Fabric Day Oslo 2023)Data Integration with Data Factory (Microsoft Fabric Day Oslo 2023)
Data Integration with Data Factory (Microsoft Fabric Day Oslo 2023)Cathrine Wilhelmsen
 
The Battle of the Data Transformation Tools (PASS Data Community Summit 2023)
The Battle of the Data Transformation Tools (PASS Data Community Summit 2023)The Battle of the Data Transformation Tools (PASS Data Community Summit 2023)
The Battle of the Data Transformation Tools (PASS Data Community Summit 2023)Cathrine Wilhelmsen
 
Visually Transform Data in Azure Data Factory or Azure Synapse Analytics (PAS...
Visually Transform Data in Azure Data Factory or Azure Synapse Analytics (PAS...Visually Transform Data in Azure Data Factory or Azure Synapse Analytics (PAS...
Visually Transform Data in Azure Data Factory or Azure Synapse Analytics (PAS...Cathrine Wilhelmsen
 
Building an End-to-End Solution in Microsoft Fabric: From Dataverse to Power ...
Building an End-to-End Solution in Microsoft Fabric: From Dataverse to Power ...Building an End-to-End Solution in Microsoft Fabric: From Dataverse to Power ...
Building an End-to-End Solution in Microsoft Fabric: From Dataverse to Power ...Cathrine Wilhelmsen
 
Website Analytics in my Pocket using Microsoft Fabric (AdaCon 2023)
Website Analytics in my Pocket using Microsoft Fabric (AdaCon 2023)Website Analytics in my Pocket using Microsoft Fabric (AdaCon 2023)
Website Analytics in my Pocket using Microsoft Fabric (AdaCon 2023)Cathrine Wilhelmsen
 
Choosing Between Microsoft Fabric, Azure Synapse Analytics and Azure Data Fac...
Choosing Between Microsoft Fabric, Azure Synapse Analytics and Azure Data Fac...Choosing Between Microsoft Fabric, Azure Synapse Analytics and Azure Data Fac...
Choosing Between Microsoft Fabric, Azure Synapse Analytics and Azure Data Fac...Cathrine Wilhelmsen
 
Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (D...
Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (D...Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (D...
Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (D...Cathrine Wilhelmsen
 
Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (S...
Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (S...Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (S...
Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (S...Cathrine Wilhelmsen
 
"I can't keep up!" - Turning Discomfort into Personal Growth in a Fast-Paced ...
"I can't keep up!" - Turning Discomfort into Personal Growth in a Fast-Paced ..."I can't keep up!" - Turning Discomfort into Personal Growth in a Fast-Paced ...
"I can't keep up!" - Turning Discomfort into Personal Growth in a Fast-Paced ...Cathrine Wilhelmsen
 
Lessons Learned: Implementing Azure Synapse Analytics in a Rapidly-Changing S...
Lessons Learned: Implementing Azure Synapse Analytics in a Rapidly-Changing S...Lessons Learned: Implementing Azure Synapse Analytics in a Rapidly-Changing S...
Lessons Learned: Implementing Azure Synapse Analytics in a Rapidly-Changing S...Cathrine Wilhelmsen
 
6 Tips for Building Confidence as a Public Speaker (SQLBits 2022)
6 Tips for Building Confidence as a Public Speaker (SQLBits 2022)6 Tips for Building Confidence as a Public Speaker (SQLBits 2022)
6 Tips for Building Confidence as a Public Speaker (SQLBits 2022)Cathrine Wilhelmsen
 
Lessons Learned: Understanding Pipeline Pricing in Azure Data Factory and Azu...
Lessons Learned: Understanding Pipeline Pricing in Azure Data Factory and Azu...Lessons Learned: Understanding Pipeline Pricing in Azure Data Factory and Azu...
Lessons Learned: Understanding Pipeline Pricing in Azure Data Factory and Azu...Cathrine Wilhelmsen
 
Azure Synapse Analytics Teaser (Microsoft TechX Oslo 2019)
Azure Synapse Analytics Teaser (Microsoft TechX Oslo 2019)Azure Synapse Analytics Teaser (Microsoft TechX Oslo 2019)
Azure Synapse Analytics Teaser (Microsoft TechX Oslo 2019)Cathrine Wilhelmsen
 
Lessons Learned: Understanding Azure Data Factory Pricing (Microsoft Ignite 2...
Lessons Learned: Understanding Azure Data Factory Pricing (Microsoft Ignite 2...Lessons Learned: Understanding Azure Data Factory Pricing (Microsoft Ignite 2...
Lessons Learned: Understanding Azure Data Factory Pricing (Microsoft Ignite 2...Cathrine Wilhelmsen
 
Building Dynamic Data Pipelines in Azure Data Factory (Microsoft Ignite 2019)
Building Dynamic Data Pipelines in Azure Data Factory (Microsoft Ignite 2019)Building Dynamic Data Pipelines in Azure Data Factory (Microsoft Ignite 2019)
Building Dynamic Data Pipelines in Azure Data Factory (Microsoft Ignite 2019)Cathrine Wilhelmsen
 
Building Dynamic Pipelines in Azure Data Factory (Data Saturday Holland)
Building Dynamic Pipelines in Azure Data Factory (Data Saturday Holland)Building Dynamic Pipelines in Azure Data Factory (Data Saturday Holland)
Building Dynamic Pipelines in Azure Data Factory (Data Saturday Holland)Cathrine Wilhelmsen
 
Pipelines and Packages: Introduction to Azure Data Factory (Techorama NL 2019)
Pipelines and Packages: Introduction to Azure Data Factory (Techorama NL 2019)Pipelines and Packages: Introduction to Azure Data Factory (Techorama NL 2019)
Pipelines and Packages: Introduction to Azure Data Factory (Techorama NL 2019)Cathrine Wilhelmsen
 
Uhms and Bunny Hands: Tips for Improving Your Presentation Skills (DataGrille...
Uhms and Bunny Hands: Tips for Improving Your Presentation Skills (DataGrille...Uhms and Bunny Hands: Tips for Improving Your Presentation Skills (DataGrille...
Uhms and Bunny Hands: Tips for Improving Your Presentation Skills (DataGrille...Cathrine Wilhelmsen
 

More from Cathrine Wilhelmsen (19)

Getting Started: Data Factory in Microsoft Fabric (Microsoft Fabric Community...
Getting Started: Data Factory in Microsoft Fabric (Microsoft Fabric Community...Getting Started: Data Factory in Microsoft Fabric (Microsoft Fabric Community...
Getting Started: Data Factory in Microsoft Fabric (Microsoft Fabric Community...
 
Data Integration with Data Factory (Microsoft Fabric Day Oslo 2023)
Data Integration with Data Factory (Microsoft Fabric Day Oslo 2023)Data Integration with Data Factory (Microsoft Fabric Day Oslo 2023)
Data Integration with Data Factory (Microsoft Fabric Day Oslo 2023)
 
The Battle of the Data Transformation Tools (PASS Data Community Summit 2023)
The Battle of the Data Transformation Tools (PASS Data Community Summit 2023)The Battle of the Data Transformation Tools (PASS Data Community Summit 2023)
The Battle of the Data Transformation Tools (PASS Data Community Summit 2023)
 
Visually Transform Data in Azure Data Factory or Azure Synapse Analytics (PAS...
Visually Transform Data in Azure Data Factory or Azure Synapse Analytics (PAS...Visually Transform Data in Azure Data Factory or Azure Synapse Analytics (PAS...
Visually Transform Data in Azure Data Factory or Azure Synapse Analytics (PAS...
 
Building an End-to-End Solution in Microsoft Fabric: From Dataverse to Power ...
Building an End-to-End Solution in Microsoft Fabric: From Dataverse to Power ...Building an End-to-End Solution in Microsoft Fabric: From Dataverse to Power ...
Building an End-to-End Solution in Microsoft Fabric: From Dataverse to Power ...
 
Website Analytics in my Pocket using Microsoft Fabric (AdaCon 2023)
Website Analytics in my Pocket using Microsoft Fabric (AdaCon 2023)Website Analytics in my Pocket using Microsoft Fabric (AdaCon 2023)
Website Analytics in my Pocket using Microsoft Fabric (AdaCon 2023)
 
Choosing Between Microsoft Fabric, Azure Synapse Analytics and Azure Data Fac...
Choosing Between Microsoft Fabric, Azure Synapse Analytics and Azure Data Fac...Choosing Between Microsoft Fabric, Azure Synapse Analytics and Azure Data Fac...
Choosing Between Microsoft Fabric, Azure Synapse Analytics and Azure Data Fac...
 
Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (D...
Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (D...Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (D...
Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (D...
 
Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (S...
Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (S...Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (S...
Stressed, Depressed, or Burned Out? The Warning Signs You Shouldn't Ignore (S...
 
"I can't keep up!" - Turning Discomfort into Personal Growth in a Fast-Paced ...
"I can't keep up!" - Turning Discomfort into Personal Growth in a Fast-Paced ..."I can't keep up!" - Turning Discomfort into Personal Growth in a Fast-Paced ...
"I can't keep up!" - Turning Discomfort into Personal Growth in a Fast-Paced ...
 
Lessons Learned: Implementing Azure Synapse Analytics in a Rapidly-Changing S...
Lessons Learned: Implementing Azure Synapse Analytics in a Rapidly-Changing S...Lessons Learned: Implementing Azure Synapse Analytics in a Rapidly-Changing S...
Lessons Learned: Implementing Azure Synapse Analytics in a Rapidly-Changing S...
 
6 Tips for Building Confidence as a Public Speaker (SQLBits 2022)
6 Tips for Building Confidence as a Public Speaker (SQLBits 2022)6 Tips for Building Confidence as a Public Speaker (SQLBits 2022)
6 Tips for Building Confidence as a Public Speaker (SQLBits 2022)
 
Lessons Learned: Understanding Pipeline Pricing in Azure Data Factory and Azu...
Lessons Learned: Understanding Pipeline Pricing in Azure Data Factory and Azu...Lessons Learned: Understanding Pipeline Pricing in Azure Data Factory and Azu...
Lessons Learned: Understanding Pipeline Pricing in Azure Data Factory and Azu...
 
Azure Synapse Analytics Teaser (Microsoft TechX Oslo 2019)
Azure Synapse Analytics Teaser (Microsoft TechX Oslo 2019)Azure Synapse Analytics Teaser (Microsoft TechX Oslo 2019)
Azure Synapse Analytics Teaser (Microsoft TechX Oslo 2019)
 
Lessons Learned: Understanding Azure Data Factory Pricing (Microsoft Ignite 2...
Lessons Learned: Understanding Azure Data Factory Pricing (Microsoft Ignite 2...Lessons Learned: Understanding Azure Data Factory Pricing (Microsoft Ignite 2...
Lessons Learned: Understanding Azure Data Factory Pricing (Microsoft Ignite 2...
 
Building Dynamic Data Pipelines in Azure Data Factory (Microsoft Ignite 2019)
Building Dynamic Data Pipelines in Azure Data Factory (Microsoft Ignite 2019)Building Dynamic Data Pipelines in Azure Data Factory (Microsoft Ignite 2019)
Building Dynamic Data Pipelines in Azure Data Factory (Microsoft Ignite 2019)
 
Building Dynamic Pipelines in Azure Data Factory (Data Saturday Holland)
Building Dynamic Pipelines in Azure Data Factory (Data Saturday Holland)Building Dynamic Pipelines in Azure Data Factory (Data Saturday Holland)
Building Dynamic Pipelines in Azure Data Factory (Data Saturday Holland)
 
Pipelines and Packages: Introduction to Azure Data Factory (Techorama NL 2019)
Pipelines and Packages: Introduction to Azure Data Factory (Techorama NL 2019)Pipelines and Packages: Introduction to Azure Data Factory (Techorama NL 2019)
Pipelines and Packages: Introduction to Azure Data Factory (Techorama NL 2019)
 
Uhms and Bunny Hands: Tips for Improving Your Presentation Skills (DataGrille...
Uhms and Bunny Hands: Tips for Improving Your Presentation Skills (DataGrille...Uhms and Bunny Hands: Tips for Improving Your Presentation Skills (DataGrille...
Uhms and Bunny Hands: Tips for Improving Your Presentation Skills (DataGrille...
 

Recently uploaded

办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一F sss
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdfHuman37
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfLars Albertsson
 
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptxAmazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptxAbdelrhman abooda
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxEmmanuel Dauda
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...Suhani Kapoor
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...Suhani Kapoor
 
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptxthyngster
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]📊 Markus Baersch
 
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)jennyeacort
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingNeil Barnes
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998YohFuh
 
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /WhatsappsBeautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsappssapnasaifi408
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...Florian Roscheck
 
How we prevented account sharing with MFA
How we prevented account sharing with MFAHow we prevented account sharing with MFA
How we prevented account sharing with MFAAndrei Kaleshka
 
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024thyngster
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts ServiceSapana Sha
 

Recently uploaded (20)

办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
办理学位证中佛罗里达大学毕业证,UCF成绩单原版一比一
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdf
 
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptxAmazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptx
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
 
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
 
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
 
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]
 
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data Storytelling
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998
 
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /WhatsappsBeautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
 
How we prevented account sharing with MFA
How we prevented account sharing with MFAHow we prevented account sharing with MFA
How we prevented account sharing with MFA
 
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts Service
 

Choosing Between Microsoft Fabric, Azure Synapse Analytics and Azure Data Factory (SQLBits 2024)

  • 1. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
  • 2. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) You are a data engineer
  • 3. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) You are starting a new project
  • 4. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Which tool do you use?
  • 5. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Azure Data Factory? Azure Synapse Analytics? Microsoft Fabric?
  • 6. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) It Depends
  • 7. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) What does it depend on?
  • 8. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Let's take a look!
  • 9. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Choosing Between Microsoft Fabric, Azure Synapse Analytics and Azure Data Factory Cathrine Wilhelmsen
  • 10. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Session Description You're starting a new project where you need to ingest, store, transform and prepare data. Business users have already decided that they want to use Power BI (of course), but you need to decide which service to use for the data integration layer. Do you choose: • Azure Data Factory? • Azure Synapse Analytics? • Microsoft Fabric? If you're not sure what the right answer is for your project, then this session is for you! We will start with an overview of the three services and the most common architectures where they shine. Then, we will compare their capabilities and features, and list the most important factors for deciding which one is right for our project. Finally, because we all know we will be asked "how much will it cost?", we will look at the pricing model for each service.
  • 11. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) @cathrinew cathrinew.net
  • 12. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Azure Data Factory
  • 13. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) What is Azure Data Factory? Standalone service for: • Data Integration • Workflow Orchestration • Scheduling
  • 14. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Ingest Data Transform Data
  • 15. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Orchestrate Workflows Ingest Data Transform Data
  • 16. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
  • 17. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
  • 18. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
  • 19. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Azure Synapse Analytics
  • 20. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) What is Azure Synapse Analytics? Unified analytics platform: • Data Integration • Data Lake • Data Warehousing • Big Data Analytics • Time-Series Analytics • Data Science
  • 21. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) What is Azure Synapse Analytics? Three engines: • SQL Pools (Dedicated / Serverless) • Spark • Data Explorer
  • 22. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) What is Azure Synapse Analytics? Pick and choose which components to use! Can be used for small, cost-effective solutions Or enterprise-scale, expensive solutions
  • 23. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Synapse Dedicated SQL Data Warehousing with complete control of: • Distribution • Partitioning • Indexing • Workloads Enterprise-grade
  • 24. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Synapse Serverless SQL Query files using SQL: • CSV Files • Parquet Files • JSON Files Can be very cheap!
  • 25. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
  • 26. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
  • 27. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Microsoft Fabric
  • 28. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) How is Microsoft Fabric different? New, shiny icons! (Ok, it’s more than just the icons…)
  • 29. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) How is Microsoft Fabric different? Same concept, new underlying architecture Same functionality, different users and scenarios
  • 30. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) OneLake storing one copy of all your data in an open format Built-in security, governance and compliance Data Factory Data Engineering Data Warehouse Data Science Real-Time Analytics Power BI Data Activator
  • 31. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
  • 32. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Decision factors How do you choose?
  • 33. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) What kind of architecture? • Data Lake • Data Warehouse • Data Lakehouse • Data Mesh
  • 34. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Who are the users? • IT Professionals • Power Users • Business Users
  • 35. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) How many solutions? • Single Solution • Distributed Solution • Client Projects
  • 36. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Pricing How much will it cost?
  • 37. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Azure Data Factory Pay-as-you-go: • Operations • Orchestration • Pipeline Activities • Data Movement • Data Transformations
  • 38. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Azure Synapse Analytics Pay-as-you-go: • Data Integration • Spark Pools • Data Explorer Pools • Dedicated SQL Pools • Serverless SQL Pools
  • 39. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Microsoft Fabric Pay-as-you-go: • Pay-per-second • Scale / Pause / Resume at higher cost Reserved pricing: • Pay monthly or yearly (monthly commitment)
  • 40. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Let’s compare! Answers to common questions
  • 41. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Are Azure Data Factory and Azure Synapse Analytics dead?
  • 42. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Should I always use Microsoft Fabric?
  • 43. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net)
  • 44. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Which one do you choose? Standalone Service Data Integration Analytics Platform From a Technical Perspective All-in-one Service From a Business Perspective
  • 45. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Which one do you choose?
  • 46. © 2024 Cathrine Wilhelmsen (hi@cathrinew.net) Thank you! hi@cathrinew.net @cathrinew cathrinew.net