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Microsoft Fabric Data Platform Next Step
- 1. Microsoft Fabric –Introduction Data Platform Next Step @ Billund, Denmark, 2023
- 2. Stefan Azaric, Program Manager @azaricstefan MarkPryce-Maher, Senior Program Manager @MarkPM_MSFT Strahinja Rodic, Program Manager @Strale15
- 3. CONTENTS 01 Microsoft Fabric: Howwe got here 02 Microsoft Fabric: Introduction & Architecture 03 Microsoft Fabric: Capabilities & Scenarios 04 Microsoft Fabric: Hands-on demo 05 Getting started 06 Q&A
- 4. Microsoft Fabric: How wegot here
- 5. Today’s data and analytics challenges Balancingthe need for data access and self- service analytics while remaining governed Limited scalability of legacy solutions as data demand rises exponentially Breaking down data siloes across the organization into a unified source of truth Delivering on the promise of analytics with limited resources
- 7. What we’re hearingfrom our customers How do I unify all disparate data sources cost-effectively? How do I minimize security breaches and risks? How do I improve analytical agility for my organization? How do I ensure business users use the insights to get value from my investments?
- 8. SaaS “It just works" Frictionlessonboarding Quick results w/ Intuitive UX Instant provisioning 5x5 Minimal knobs Auto optimized Auto integrated Success by default Tenant-wide governance Centralized security management Compliance built-in Centralized administration
- 9. Microsoft Fabric: Introduction &Architecture
- 10. Introducing Microsoft Fabric Fabric brings togetherexisting offerings like Data Factory, Synapse, and Power BI into a single unified product for all your data and analytics workloads: Data Factory (data integration) Synapse Data Engineering Synapse Data Warehouse Synapse Data Science Synapse Real-Time Analytics Power BI (Business Intelligence) Data Activator
- 11. One Copy forall computes Real separation of compute and storage All the compute engines store their data automatically in OneLake The data is stored in a single common format Delta – Parquet, an open standards format, is the storage format for all tabular data in Analytics vNext Once data is stored in the lake, it is directly accessible by all the engines without needing any import/export All the compute engines have been fully optimized to work with Delta Parquet as their native format Shared universal security model is enforced across all the engines Serverless Compute Customers 360 Finance Service Telemetry Business KPIs Delta – Parquet FormatÅ Delta – Parquet Format Delta – Parquet Format Delta – Parquet Format T-SQL Spark KQL Analysis Services
- 12. Available now Public preview DataFactory Synapse Data Engineering Synapse Data Science Synapse Data Warehousing Synapse Real Time analytics Copilot for Power BI (DAX) OneLake Generally available Power BI Data Activator Copilot for Microsoft Fabric Copilot for Power BI (full) Private Preview
- 13. Microsoft Fabric: Capabilities &Scenarios
- 14. Common analytics scenarios LakehouseData Warehouse Data Science Real Time Analytics
- 15. Lakehouse Data Source Shortcut Enabled Structured/ Unstructured Ingestion Shortcuts Pipelines & Dataflows Store Lakehouse(s) Transform Notebooks & Dataflows Expose PBI Lake Warehouse
- 16. Data warehouse Data Source ShortcutEnabled Structured / Unstructured Ingestion Mounts Pipelines & Dataflows Store Data Warehouse Transform Procedures Expose PBI Warehouse
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- 19. Get started today Explorethe product here: https://aka.ms/try-fabric Get your questions answered in the Microsoft Fabric webinar series: https://aka.ms/fabric-webinar-series See the latest announcements in the Microsoft Fabric blog site: https://aka.ms/fabric-tech-blog Read the implementation guide: https://aka.ms/Getting-Started-eBook
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