Microsoft Azure Data Governance Workshop

Apex Systems LLC

Remote Workshop led by our Microsoft Azure Practice Architects. Data Governance with Microsoft Fabric and Azure Purview Experts

Microsoft Azure Data Governance enables organizations and individuals to turn large and complex Azure data repositories into actionable workloads and analytics. Organizations are exploring how Microsoft Azure Data Governance can both enable & govern self-service data, analytics, and even AI use cases. Our team will discuss the operational governance capabilities of Microsoft Fabric with Azure Purview's data governance services, communicating how your organization can achieve and maintain high data quality standards. This workshop offers multiple views of data management benefits, from enforcing compliance and data policies to providing data cataloging. We will dive into your current state and future state Azure integration with an industry proven approach to managing, processing, and understanding your data for optimized business outcomes.

In this Microsoft Azure Data Governance workshop, our experts will lay out industry leading concepts, working directly with your team to:

  1. Map out an Azure Data Governance use case and leverage the latest Microsoft Azure technology.
  2. Answer key Azure Data Governance questions.
  3. Present enterprise conceptual azure architectural, organizational, and workflow diagrams.
  4. Provide a working roadmap for leadership, including the high-level total cost of ownership ROI estimates.
  5. Recommend additional advisory and/or implementation services to build this into a business case.

Apex Systems is a leading global technology services firm with a presence in over 70 markets across North America, Europe, and India. We provide a continuum of services, including strategy and enablement, innovation and productivity, and technology foundations to drive better results and bring more value to our clients.  Our Azure Data and AI teams currently support the Fortune 1000 and beyond with solutions for enterprise analytics, data engineering & operations, data management & governance, & and data platform and product implementations.

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