Power Business Decisions with Cloud Scale Analytics

Animation of cloud scale analytics Animation of cloud scale analytics

Context
On this page, we discuss a specific partner journey (Power Business Decisions with Cloud Scale Analytics). If you are new to partner journeys or just want/need more context, then please take a look at the typical partner journey first.

1. Envisioning

With larger, more sophisticated forms of cloud adoption, your journey to the cloud becomes more complex. Azure cloud-scale analytics is a scalable, repeatable framework that meets your organization’s unique needs for building modern data platforms.

Cloud-scale analytics covers both technical and non-technical considerations for analytics and governance in the cloud. This guidance strives to support hybrid and multicloud adoption by being cloud agnostic, but the included technical implementation examples focus on Azure products.

Cloud-scale analytics has the following goals:

  • Serve data as a product, rather than a byproduct
  • Provide an ecosystem of data products, rather than a singular data warehouse that might not best fit your data scenario
  • Drive a default approach to enforce data governance and security
  • Drive teams to consistently prioritize business outcomes instead of focusing just on the underlying technology.
Cloud adoption framework: Cloud scale analytics overview

The recordings of the “All Around Azure” event also explain it in great detail:

Link: aka.ms/aaa-unlocked-data

Data Mesh

Data mesh is an architectural pattern for implementing enterprise data platforms in large, complex organizations. It helps scale analytics adoption beyond a single platform and a single implementation team. It was first introduced on Martin Fowler’s blog. Data mesh’s goal is to let distributed teams to work with and share information in a decentralized and agile manner. Data mesh is a technical pattern that also requires organizational change. The benefits of a data mesh approach are achieved by implementing multi-disciplinary teams that publish and consume data products.

The following concepts are foundational for understanding data mesh architecture:

  • Data domains
  • Data products
  • Self Service Platform
  • Federated Governance

Cloud scale analytics has a section specifically focussed on Data Mesh

Tip

If you really want to understand Data Mesh (which I encourage), then the book Data Mesh: Delivering Data-Driven Value at Scale written is highly recommended!

2. Certification & Specializations

Specializations

When you, as a partner have attained the Solution partner designation in one of the solution areas, then you can differentiate yourself by achieving any of the eligible specializations.

For more information, please look at the following landing pages: arrow_right Earn an advanced specialization to showcase your validated capabilities (Microsoft Docs)

Renewal of specialisations

Starting in 2023, a renewal process has been put in place. This means that Partners will have to re-confirm their specialization status as per the process that was described here

Certification

3. Technical Enablement

  1. A great getting started checklist
  2. Deployment templates for cloud-scale analytics
    1. Data Management landing zone (This page provides you with an overview of what is deployed and what isn’t.)
    2. Data landing zone (This page does the same, but for this context.
    3. other specific scenarios
  3. Solution accelerators
  4. Even more tutorials

4. Design & Build

Appliance Migration to Azure Synapse

Info About:The info:
Associated Products
non exhaustive
• Azure Synapse
​• Azure Data Lake Storage ​
• Azure Data Factory
DescriptionMigrate on-premises legacy analytics appliance to an enterprise scale data warehouse on Azure.

New Analytics with Synapse & PowerBI

Info About:The info:
Associated Products
non exhaustive
• Azure Synapse
• Power BI
Description• Services: Services to implement Power BI and Drive a data culture to gain clarity and insight around key business decisions. Advisory services to help customers assess, evaluate and implement Modern Analytics Solutions that leverage Power BI to convert their data into business insights Data estate unification and modern data warehousing and insights visualization through Power BI and Azure Synapse
• IP: Industry specific or departmental Modern Analytics solutions or templates built on Power BI

Cloud Scale Analytics

Info About:The info:
Associated Products
non exhaustive
• Azure Synapse
​• HD Insight
​• Azure Databricks
​• Azure Data Share
​• Azure Stream Analytics​
​• Azure Data Explorer
​• Azure Data Catalog​
​• Azure Data Factory
DescriptionThe industry’s most comprehensive set of solutions that turns data into actionable insights. Azure Analytics delivers unparalleled performance at incredible value
Tip

For a broader insight on specializations, take a look here