Data Architecture and Modeling

Data architecture is composed of models, policies, rules or standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations.

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Data architecture and Modelling

Data architecture create blueprints for data management systems. After assessing a company’s potential data sources (internal and external), architects design a plan to integrate, centralize, protect and maintain them. This allows company to access critical information in the right place, at the right time. It Involves

  • Collaborate with IT teams and management to devise a data strategy that addresses industry requirements
  • Build an inventory of data needed to implement the architecture
  • Research new opportunities for data acquisition
  • Identify and evaluate current data management technologies
  • Create a fluid, end-to-end vision for how data will flow through an organization
  • Develop data models for database structures
  • Design, document, construct and deploy database architectures and applications (e.g. large relational databases)
  • Integrate technical functionality (e.g. scalability, security, performance, data recovery, reliability, etc.)
  • Implement measures to ensure data accuracy and accessibility
  • Constantly monitor, refine and report on the performance of data management systems
  • Meld new systems with existing warehouse structures
  • Produce and enforce database development standards
  • Maintain a corporate repository of all data architecture artifacts and procedures