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Analytics' Role in Autonomous Data Warehouse Cloud

Michael Singer
Director, Product Marketing, Oracle Analytics

Oracle Autonomous Data Warehouse Cloud is now available. This is the first official service launched by Oracle under the "Autonomous" category that we announced earlier this year.

Oracle Executive Chairman and CTO, Larry Ellison took to the stage at Oracle headquarters to make the announcement. The video below outlines the many compelling features and benefits for businesses looking to take advantage of automation.

Built on Oracle Database 18c, Autonomous Data Warehouse Cloud includes more than 100 features that require zero IT administration on the customer’s part. While Oracle will be releasing Autonomous Analytics later this year, what makes Autonomous Data Warehouse Cloud significant is that it already has so many data analytics features included in this initial release. The software uses machine learning to deliver a self-managing, self-securing, self-repairing database over the Oracle Cloud.

The video below includes a full demonstration of those features including ones related to analytics.

Of those hundreds of features, the most significant is a free (as in "free beer") version of Data Visualization Desktop. Data visualization allows you to spot patterns, trends, and correlations that otherwise might go unnoticed in traditional reports, tables, or spreadsheets. Oracle Data Visualization lets you analyze data from multiple sources and easily create intelligent integrations including broadcasting to mobile devices.

One feature that is sure to gain fans is the ability to process these analytic queries as fast as your business needs them. The Autonomous Data Warehouse Cloud allows you to scale your analytics computing speeds according to the number of CPUs you assign to it. As seen below, a slider taps into a REST instance that winds up more compute power as needed and then scales back either after the task is complete or during specific hours. This saves on both time and money since you only pay for the CPUs you use.

"In a data-driven organization, the best tools for measuring the performance are business intelligence (BI) and analytics engines, which require data," says Alan Zeichick, principal analyst at Camden Associates. "And that explains why data warehouses continue to play such a crucial role in business. Data warehouses often provide the source of that data, by rolling up and summarizing key information from a variety of sources."

If you want to see the Autonomous Data Warehouse in action, feel free to download the free trial. For those who are interested in the costs involved, Oracle has provided a total cost of ownership (TCO) calculator.

We're also taking Oracle Autonomous Database Cloud on a World Tour where you can learn more and test drive the new service at any of events taking place in more than 30 cities worldwide.

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