Data Architecture
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Data architecture is the art and science of planning and designing the things that are needed to manage data – to collect, organize, store, integrate, quality assure, protect, provide, and use data. Data architecture defines and describes the components, structure, and relationships of an organization’s data assets and data management practices.
The need for adaptable data management architecture has never been more pressing. Yet getting there seems to be more challenging than ever. The frameworks and principles that define and describe how data is organized and managed are rapidly changing. Contemporary data architecture patterns include Modern Data Warehouse, Data Lake, Data Lakehouse, Data Fabric, Data Mesh, and more. Each of these architectural models has advantages and challenges in meeting data management requirements of business operations, analytics, and AI applications. Data architects need knowledge and skills to blend features of multiple architectural approaches into a hybrid architecture, to evolve architecture to meet new requirements, and to support legacy data use cases while building for future capabilities.
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Download Data Architecture Catalog
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Our Data Quality curriculum includes 11 online courses listed below. Each course is accompanied by an optional
Certified Information Management Professional (CIMP) exam. Click on the course links to explore course details and outlines, learn more about the exams, or watch free Sneak Peeks.
You can purchase the courses individually or enroll in one of our comprehensive
Education Packages at a great discount.
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