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Operational Data Architecture, Part 2: Architectural Data Management
Operational Data Architecture - online training course
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4-hour Online Course by Angelo Bobak
Single-user access license
Our Price: $425.00

Product Code: DA-04-A

Course Exam [Add $100.00]

Description Course Outline Exam Details

For several decades, data architecture has focused almost exclusively on the management of analytical data. Most data architecture teams have given little attention to operational data while the scope, variety, and complexity of operational systems and operational data has expanded substantially.

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As the operational data landscape has evolved and expanded, data architecture processes and practices have lagged behind. Data sprawl and data disparity increase the cost and complexity of operational data management. These data management challenges inhibit data integration, system interoperability, and business agility. Rethinking operational data architecture is an essential step to overcoming these barriers.
This 4-hour, 14-minute course describes concepts and considerations for rethinking and modernizing operational data architecture. It focuses on positive and proactive data management practices for operational data, and the underlying architectural processes and patterns to enable and reinforce those practices.

Prerequisite: Operational Data Architecture, Part 1: The Operational Data Landscape

You will learn:
  • Architectural concepts, constructs, and techniques to manage data sprawl and data disparity
  • Concepts and management practices for distributed data, homogeneous data, and heterogeneous data
  • Concepts and management practices for data conflicts including semantic and schema conflicts
  • Master data management (MDM) and reference data management (RDM) principles and practices
  • Operational data architecture patterns including operational data store (ODS), data hubs, data brokers, and more
  • Design techniques for adaptable and sustainable architecture
This course is geared towards:
  • Current and aspiring data architects
  • Data scientists and data engineers
  • Data warehousing and data lake designers and developers
  • Data and information systems program and project managers

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Instructors > Angelo Bobak