Moving Data Analytics To Cloud: Evaluating the Long-Term Economic Impact (Cloud Next ’18)

As organizations focus on being more data-driven, the start-up cost and time required can be daunting, especially with a do-it-yourself on-premises approach. The cloud offers many organizations an easier approach to cost-effectively satisfy data analytics requirements around simplicity, manageability, and financial risk reduction. The cloud-native serverless data analytics architecture completely changes traditional TCO equations. Join Google and analyst firm ESG for a look into the data analytics cloud market, how to evaluate the economic impact of your analytics project, and how Google can help.

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Duration: 42:27
Publisher: Google Cloud
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