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Cloud Scale Analytics Principles

8:33

Reference Architectures

9:31

Cloud Adoption Framework

15:10

Landing Zones

15:32

Complex Events Processing

25:49

Data Landing Zone

32:25

Applied Ai

34:49

How each Microservice Will Communicate with each Other

38:00

Communication between Microservices

38:05

Frictionless Data Governance

41:46

Data Domains

48:03

Availability and Recovery

51:22

Azure Synapse Analytics

52:33

Apache Spark

53:36

Azure Data Explorer

56:23

Time Series Processing

56:28

Tenant Storage

1:02:57

Landing Container

1:07:31

What Are the Types of Analytics

1:11:11

Types of Analytics

1:11:15

Prescriptive Analytics

1:11:33

Analytics Sandbox

1:14:00

Continuous Governance

1:19:15

Team Data Science Process

1:37:54

Azure Devops

1:39:41

Data Management Zone

1:40:50

Code Spaces

1:41:43

Implementing a Cloud Analytics Scenario End To End

1:42:27
All Around Azure - Unlocked: Cloud Scale Analytics
About this event Do you have an outdated data architecture that isn’t scaling with the needs of your multi-disciplinary organization?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. Data Management and Analytics Keynote Scalable data management and analytics What are the roadblocks to deriving value from data and how can you optimize your strategy platform? Learn: - How businesses are using Microsoft leverages cloud scale analytics for best practices and executable resources whilst empowering teams by facilitating data self-service. How Cloud-scale analytics is built upon Azure landing zones to help you create an agile and secure modern data platform. How you can structure teams to create agile, vertical, cross-domain teams. 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: - How Microsoft has approached a hybrid approach to Data Mesh and Data Fabric. How Microsoft aligned to the three layers of data mesh and provides data governance across on-premises, Azure, and 3rd party clouds. Why automated operations can help you standardize your polyglot storage and onboarding. 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: How to segment your analytics into data domains. How data applications are critical to creating data products. The key outputs from data applications and what should a data product look like? How data domains and data products map into cloud-scale analytics How Purview can help you govern across data domains. 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: To analyze the use case of tailwind traders who are looking to implement a data mesh. How to use the sample code to quickly deploy landing zones which align to both the cloud adoption and well architected frameworks. How to deploy your first data application. Ask Me Anything Additional Resources: https://aka.ms/cloudadoptionframework... Speaker: Ahmed Mostafa Lead Solutions Architect - Microsoft Ahmed is a Lead Solutions Architect in Microsoft focusing on Data Analytics, AI, and IoT. Ahmed works in industries such as Telco, Media, Energy, Mobility, Aviation helping customers incorporate AI into their businesses and leverage analytics to make a better future for everyone they serve. Feel free to reach out to Ahmed to discuss business scenarios you might have. [eventID:16210]

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Microsoft Reactor

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