The rise of the cloud data platform

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The year 2020 is seared into CIOs’ collective memory as one of the most cataclysmic, consequential years this century. But while the pandemic helped drive digital transformation far beyond anyone’s expectations, make no mistake: This was not the perfect storm we’ve all envisioned.If anything, the unprecedented wave of data-driven deployments last year shined a light on shortcomings in existing frameworks that are muting big data’s potential. Many organizations, for example, have been frustrated by how long it can take just to prepare data before analysts and scientists can even start a new project.As well, the process for migrating the resulting models into business processes has been just as vexing. And without the proper security and governance controls across the entire data lifecycle, analysts and data scientists run the risk of exposing and permanently sullying critical data stores.To read this article in full, please click here

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The year 2020 is seared into CIOs’ collective memory as one of the most cataclysmic, consequential years this century. But while the pandemic helped drive digital transformation far beyond anyone’s expectations, make no mistake: This was not the perfect storm we’ve all envisioned.

If anything, the unprecedented wave of data-driven deployments last year shined a light on shortcomings in existing frameworks that are muting big data’s potential. Many organizations, for example, have been frustrated by how long it can take just to prepare data before analysts and scientists can even start a new project.

As well, the process for migrating the resulting models into business processes has been just as vexing. And without the proper security and governance controls across the entire data lifecycle, analysts and data scientists run the risk of exposing and permanently sullying critical data stores.

To read this article in full, please click here

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