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Introduction to
Microsoft Fabric
Ishani Udeshika
Associate Data Scientist in Zone24x7
Bsc in Applied Mathematics and Computing from University
of Jaffna.
Objective
● Introduce Microsoft Fabric
● Understanding its usage
ABC Taxi Service
Customers
Rides
Traffic Patterns
Data engineering
Data analytics
Machine learning
★ Before They used
Microsoft technology stack
but it was workable but
complex.
★ Data analytics and
Machine learning were
separate
compartments.
★ Hard to collaborate
and slowing down
innovation
ABC Taxi Service
Customers
Rides
Traffic Patterns
Data
engineering
Data analytics
Machine learning
★ Microsoft introduced
Fabric, It was like
having a one stop shop
for all your needs.
★ Now Data engineers
and Data scientists
could work side by
side.
★ Analyze ride data in
real time, predicting
demand patterns and
optimizing routes.
★ ABC company could
improve efficiency,
better customer
experience and cost
savings.
Why we need Fabric?
Unified
Analytic
experience a
few years ago?
So why
need
Fabric?
Microsoft Fabric Overview
Data
Factory
Synapse Data
Engineering
Synapse Data
Warehousing
Synapse Data
Science
Synapse Real-Time
Analytics
Power BI
OneLake
Data Factory
Solve most complex data integration
and ETL scenarios
Synapse Data Engineering
Create a lakehouse, use Apache
Spark for data transformation and
pre-processing
Synapse Data Warehousing
Perform petabyte scale analysis and
manage data in secure and open-data
format
Synapse Data Science
Explore the data and build ML models
Synapse Real-time analytics
Ingest real-time data, query and
visualize
Power BI
Self-service BI tool, to find insights,
track the progress and take business
decisions faster
How It easier for users
Service Fabric readily embraces all cloud
services, making integration effortless.
CoPilot streamlines coding with intelligent
suggestions tailored to your application
development needs
How ABC’s Company uses Fabric
What Fabric is and How It’s different from
Synapse
Components of Fabric and their uses
Advantages of Fabric
Wrapping Up !
Thank You !
www.linkedin.com/in/ishaniu
ishaniu.udeshika@gmail.com

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