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TDWI Checklist: Transform the Enterprise Data Warehouse into a Cloud Data Platform

June 29, 2021

Today’s enterprise data warehouse (EDW) can generally do its job faster, at greater scale, and with more cost-effectiveness in a cloud environment.


Users can access EDW functionality on demand in the cloud through pay-as-you-go, fully managed subscriptions. Furthermore, clouds reduce or eliminate investments in the hardware, software, and IT staff needed for EDWs.


TDWI sees today’s EDW evolving into a cloud data hub that supports a much wider range of use cases. The evolving EDW is holding onto its traditional function of managing governed, cleansed, high-quality data for operational decision support. At the same time, the next-generation EDW is taking on sophisticated new workloads such as artificial intelligence (AI), advanced analytics, data applications, and B2B data sharing.


This TDWI Checklist discusses six best practices for transforming today’s cloud EDW into a next-generation converged data hub.

 

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Processing Modern Data Pipelines
Processing Modern Data Pipelines

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TDWI Q1 Checklist: Six Data Considerations for Successful Multicloud Deployments
TDWI Q1 Checklist: Six Data Considerations for Successful Multicloud Deployments