Published: 18 July 2024
Organizations have adopted data products as a potential remedy for their growing data challenges, but ultimately struggle to deliver tangible solutions. This guidance framework offers data architects a structured approach to architecting and deploying data products for effective delivery of data.
Too often, data and analytics (D&A) technical professionals, such as data architects, introduce technical solutions — this time in the form of data products — without consulting or collaborating with the business. This recurring pattern of implementing technical solutions before understanding the business needs results in inevitable data product failure.
Data products take different forms and can emerge from various places within the data ecosystem. While this introduces a diverse and dynamic set of data, assembly is still required. Hence, developing strong metadata management practices is crucial for successful data product development.
A successful data product deployment will require a
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