Growing data volumes and increasing data variety have inspired organizations to adopt and migrate to innovative hybrid multicloud platform architectures. These are intended to empower both increasingly sophisticated data storytellers and more sophisticated data consumers.
Although the growing appetite for information requires an expanding array of new operational data pipelines for real-time processing along with processes for data accumulation and integrated data preparation, data sets are increasingly shunted and funneled into shared object stores with little or no governance or oversight. The result is data chaos.
Data chaos makes it harder for users to find appropriate data and for governors to control data use. Instead of empowering data analysts, data chaos introduces hurdles they must overcome to produce coherent and consistent data stories.
This report guides the reader through creating an end-to-end environment that enables data consumers while effectively guarding against data chaos.
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