Sr Director, Strategic Business Development at a tech company with 1,001-5,000 employees
MSP
Aug 2, 2017
Understand current and future use case requirements. Data has SLAs. You don't want to make credit risk decisions on batch file data that was transferred in last Friday. Latency in cloud based data delivery may be a problem. it's called making sure the data is "fit for purpose". Also, the ability of your integration tools to generate metadata that can be consumed externally, for example by a data catalog, is very helpful. Finally, what is the architecture for including data quality, DaaS, enrichment services, exposing web services, etc.? Think big, start small, grow fast.
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Understand current and future use case requirements. Data has SLAs. You don't want to make credit risk decisions on batch file data that was transferred in last Friday. Latency in cloud based data delivery may be a problem. it's called making sure the data is "fit for purpose". Also, the ability of your integration tools to generate metadata that can be consumed externally, for example by a data catalog, is very helpful. Finally, what is the architecture for including data quality, DaaS, enrichment services, exposing web services, etc.? Think big, start small, grow fast.