“If the data was not well defined, the data would be misused in applications. If the process wasn’t well defined, it was impossible to meet user needs. “

Exploring Data
    • Data Architecture

DA 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.

    • Data Flow

DF relates to stream processing

    • Data Modeling

DM is the process of creating a data model for the data to be stored in a Database

    • Data Integration/ Data Movement

DI: Extract >Transform > Load

    • Data Interoperability

DIO addresses the ability of systems and services that create, exchange and consume data to have clear, shared expectations for the contents, context and meaning of that data.

    • Data Management

DM is an administrative process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users.