Understand how Microsoft Fabric unifies data engineering, analytics and real time intelligence to simplify your data estate.
Agenda:
Why data landscapes are changing
An overview of the challenges most organisations face today including data silos, duplicated work, inconsistent reporting and pressure to become AI ready.
Using SCOUT for Azure to understand your estate
How visibility and assessment tools highlight complexity, risks and cost drivers, revealing opportunities for unification.
How organisations managed data before Fabric
An explanation of the fragmented data approach using separate ingestion, engineering, storage and reporting tools, and why this model becomes inefficient as data volumes grow.
What changes with Microsoft Fabric
A deep dive into how Fabric unifies multiple analytics capabilities into a single SaaS environment that simplifies architecture and accelerates insight.
Understanding Fabric workloads
A clear breakdown of Data Factory, Synapse Data Engineering, Synapse Data Warehouse, Synapse Data Science, Real Time Intelligence and Power BI, and how they work together.
Data Factory within Fabric
How ingestion and orchestration flows can be created using pipelines and dataflows.
Using Synapse Data Engineering
How lakehouses and Spark based engineering prepare and transform large scale data.
Understanding Synapse Data Warehouse
How governed SQL analytics power consistent, secure reporting.
Real Time Intelligence and Data Activator
How Fabric enables streaming analytics and automated action based on live events.
Data Science in Fabric
How data science teams can experiment, train and operationalise models within a unified environment.
Power BI within Fabric
How insights, dashboards and organisational reporting fit into the platform.
How to get started
Steps for visioning, prioritisation, roadmap development and safe adoption.
Understand how Microsoft Fabric unifies data engineering, analytics and real time intelligence to simplify your data estate.
Agenda:
Why data landscapes are changing
An overview of the challenges most organisations face today including data silos, duplicated work, inconsistent reporting and pressure to become AI ready.
Using SCOUT for Azure to understand your estate
How visibility and assessment tools highlight complexity, risks and cost drivers, revealing opportunities for unification.
How organisations managed data before Fabric
An explanation of the fragmented data approach using separate ingestion, engineering, storage and reporting tools, and why this model becomes inefficient as data volumes grow.
What changes with Microsoft Fabric
A deep dive into how Fabric unifies multiple analytics capabilities into a single SaaS environment that simplifies architecture and accelerates insight.
Understanding Fabric workloads
A clear breakdown of Data Factory, Synapse Data Engineering, Synapse Data Warehouse, Synapse Data Science, Real Time Intelligence and Power BI, and how they work together.
Data Factory within Fabric
How ingestion and orchestration flows can be created using pipelines and dataflows.
Using Synapse Data Engineering
How lakehouses and Spark based engineering prepare and transform large scale data.
Understanding Synapse Data Warehouse
How governed SQL analytics power consistent, secure reporting.
Real Time Intelligence and Data Activator
How Fabric enables streaming analytics and automated action based on live events.
Data Science in Fabric
How data science teams can experiment, train and operationalise models within a unified environment.
Power BI within Fabric
How insights, dashboards and organisational reporting fit into the platform.
How to get started
Steps for visioning, prioritisation, roadmap development and safe adoption.
Good to know
Highlights
- 1 hour
- Online