Microsoft Reactor

Join us for a practical introduction to Microsoft’s cloud scale analytics. Learn how to construct and promote a data mesh implementation strategy in your organization that will work the first time, saving you from costly re-implementations.

About this event...
Do you have an outdated data architecture that isn’t scaling with the needs of your multi-disciplinary organization? Do you need a consistent view for how to apply security, governance, master data management, metadata, and data modelling? Come hear how Microsoft’s cloud scale analytics can provide you with the guidance you need to deploy the infrastructure and data mesh that underpins a scalable, federated, and governed analytics platform.

15 min Data Management and Analytics Keynote

20 min Scalable data management and analytics

What are the roadblocks to deriving value from data and how can you optimize your strategy platform?
Learn: -

1. How businesses are using Microsoft leverages cloud scale analytics for best practices and executable resources whilst empowering teams by facilitating data self-service.
2. How Cloud-scale analytics is built upon Azure landing zones to help you create an agile and secure modern data platform.
3. How you can structure teams to create agile, vertical, cross-domain teams.

25 mins Modern Analytics and Governance at Scale: A Microsoft Hybrid Approach to Data Mesh and Data Fabric

How do you move a traditional implementation to take advantage of a technical and operational approach such as data mesh and data fabric?
Learn: -

1. How Microsoft has approached a hybrid approach to Data Mesh and Data Fabric.
2. How Microsoft aligned to the three layers of data mesh and provides data governance across on-premises, Azure, and 3rd party clouds.
3. Why automated operations can help you standardize your polyglot storage and onboarding.

25 mins Applying data mesh to your organization

Data mesh is a complex topic to get your head around unless you have previously worked in microservice. Every implementation of data mesh will have some form of customization, but we will give you an outline of the patterns we are seeing across many different companies for data mesh.
Learn:

1. How to segment your analytics into data domains.
2. How data applications are critical to creating data products.
3. The key outputs from data applications and what should a data product look like?
4. How data domains and data products map into cloud-scale analytics
5. How Purview can help you govern across data domains.

25 mins Building out Tailwind Traders Data Mesh

Microsoft has worked with multiple businesses to create public guidance, open source, and reference implementations to get you started on your cloud-scale analytics journey.
Learn:

1. To analyze the use case of tailwind traders who are looking to implement a data mesh.
2. How to use the sample code to quickly deploy landing zones which align to both the cloud adoption and well architected frameworks.
3. How to deploy your first data application.

25 mins Ask Me Anything Panel

Additional Resources:
https://aka.ms/cloudadoptionframeworkallaroundazure

Speakers
Fabio Braga - Chief Architect, Customer Success - Microsoft
Martin Cairney - Microsoft MVP
Hamish Watson - Microsoft MVP