Data Platform: 30 Days Implementation

FyrSoft LLC

Modernize your current Data Estate in Azure using Azure Data Services(ADS) with expertise from FyrSoft, DPi30 is a streamlined engagement to help customers deploy and utilize Azure Data Services.

How do you translate your data into meaningful insights? Using Azure Data Services, FyrSoft can help you modernize your data estate in 30 days. Your data represents your business and can be leveraged to help you run it better.

• Integrate multiple data sources(Real-time / NRT / Batch) to create your own intelligent Data Lake that supports your business strategies

• Quickly build and deploy intelligent apps, backed by Azure’s prebuilt AI capabilities

• Leverage the technology stack, data storage and compute engine of your choice (Azure supports a variety of stacks)

*Engagement Delivery and Scope

Phase 1: Workshop and Customer Use Case/Scope definition, Azure & Azure Data Services(ADS) fundamentals

Phase 2: Design & Deploy Landing Zone with Azure Data Services to support the customer use case.

Phase 3: Validate deliverable and handover environment to customer

Phase 4: Support


1st Week : Envision, Identify and Scope

• Envision the role of a modern data and analytics platform for your organization • Analyze the current customer data estate, infrastructure, applications, workloads, and data scenarios to scope the transition requirement.

Next 3 Weeks :

  1. Design & Deploy

Design and create the Landing Zone for data platform modernization Design and implement Azure Data Services to host your data Design and build new Business Intelligence insights

2.Validate & Recommend

Validate your modern data platform with real-time customer scenarios Implement ongoing cloud and data security and governance Review additional scenarios and develop roadmap for the optimized environment with future business goals

  • Deliverables

Insights, analysis, recommendation for moving to Azure documented with

  1. Executive Summary
  2. Customer Business Objectives
  3. Scope of Project
  4. Gap analysis of CAF Foundation
  5. Azure service and architecture recommendations
  6. Azure landing zone with Azure Data Services deployed to support customer scenario