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

Kelvion New Plate Heat Exchanger


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.

Event schedule → http://g.co/next18

Watch more Data Analytics sessions here → http://bit.ly/2KXMtcJ
Next ‘18 All Sessions playlist → http://bit.ly/Allsessions

Subscribe to the Google Cloud channel! → http://bit.ly/NextSub


Duration: 42:27
Publisher: Google Cloud
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