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Power Platform | Accelerate time to value

Carsten Groth mscrm Profile Picture Carsten Groth mscrm 2,085

Many of you might have missed Microsoft Build 2021 or since you claimed yourself not being a developer, you didn´t signed up for it. Therefore, you might have missed an important session that is available as an on-demand session talking about Dataverse for Developers. A question that is upcoming many times during my workshops is

What is Microsoft Dataverse and what are the capabilities of this service?

unknown workshop attendee
Microsoft Dataverse – part of Power Platform

In the past, I´ve been already talking about Microsoft Dataverse, so feel free to review this article to better understand this offering as part of Microsoft´s Power Platform. Microsoft Dataverse is a managed data platform or in a nutshell:

Dataverse easily structures a variety of data and business logic to support interconnected applications and processes in a secure and compliant manner

Gautam Thapar, Product Manager, Microsoft Dataverse

So instead of pro-developers being in the need of building their apps accross multiple infrastructure services and pay the tax of different APIs, pricing models, scale constraints, security, interoperability, monitoring, reporting and many more, they can simply familiarize with a single API. Microsoft´s Dataverse API.

Let´s take a look in terms of the impact on accelerating time to value on Digital Transformation projects. Obviously the as-is situation can be seen as something outlined in the following visual. You start with something like this:

Accelerate time to value

As you can see from the visual above as well, wouldn´t it be nicer to combine and orchestrate services, talking about a simplification in terms of access points, up-skilling and accelerating time to value? If you put all three buckets together, you get something that in many times during my workshops, I´d like to articulate as the Microsoft „Data Cloud“. It scales vertically in a better together fashion and horizontally in an expanded breath of your data sources. The following visual sums this up.

The horizontal and vertical scale out model

As you can see your Data Cloud strategy is mainly a decision around orchestration as a platform. Something, I´ve been talking about in the past as well. So again, please feel free to review and drill into the details. But why is it important? Why is there a need to step into this?

Microsoft Data cloud – endless possibilities

Take a look at the above visual that outlines a couple of arguments that comes with a Data Cloud strategy. Using the Microsoft Cloud ecosystem, all of a sudden there´s almost endless possibilities once data is in your Data Cloud. Various services interacting and orchestrated for and by you, ensuring a faster time to value in your Digital Transformation. With that, next time you´ve been asked – What comes next? Your answer should be an upcoming journey around orchestrated layers. If you´re interested in learning more around this, ensure to check out on-demand Microsoft Build Session BRK 222. Performing advanced analytics on business apps data made easier.

Until then,…


This was originally posted here.

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