CIMP in Data Integration

Data integration consolidates and links data across systems

CIMP Data IntegrationData Integration (DI) is an essential information management capability that provides the foundation for enterprise-wide views of consistent, connected, and trusted business information. The alternative to data integration is data disparity which leads to miscommunication, misunderstanding, confusion, uncertainty, and misinformed business decisions and actions.

Data integration is important, but it is complex and challenging. The variety of reasons for data integration (data warehousing, master data management, data migration, etc.), the increasing scope of data sources (enterprise data, external data, big data, web data, etc.), and the growth in data integration techniques and technologies (ETL, ELT, federation, virtualization, etc.) all contribute to data integration complexities. From defining integration requirements to acquiring and unifying data the integration choices are abundant.

Effective and sustainable data integration systems depend on skilled and educated data professionals from architects to implementers

Our Data Integration curriculum includes 10 online courses
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CIMP Data Modelling
CIMP MDM
CIMP Data Warehousing
CIMP

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