Source: thenewstack.io
Data Models: A Key Step on Your Data JourneyCategory: Business, Database, Data
Once you’ve decided to migrate your organization’s ever-expanding volumes of data to a cloud data warehouse (CDW), getting more business value from that data requires you to keep track of data sources and their data flow. The way to do that is to build a data model inside your CDW so you can find your data assets quickly and leverage them efficiently.
To do this, you need to turn your data into relevant data objects — that is, groups of data points that are ready for consumption by another system.
The data objects you create will depend on your business goals and the specific actions your data model will drive.
With a data model to give you a better understanding of all your data sources and their structures, you can tailor your environment to support scalable solutions that manage costs over time while delivering higher value to data users and the organization and a whole.
To do this, you need to turn your data into relevant data objects — that is, groups of data points that are ready for consumption by another system.
The data objects you create will depend on your business goals and the specific actions your data model will drive.
With a data model to give you a better understanding of all your data sources and their structures, you can tailor your environment to support scalable solutions that manage costs over time while delivering higher value to data users and the organization and a whole.
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