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Tech giant Oracle has announced a number of updates that aim to make its Autonomous Data Warehouse offering easier to use for experts and novices. The strategy from the company is to reduce how many databases users turn to for modeling and data analysis, Steven Zivanic, Oracle’s global vice president of database and autonomous services product marketing, told CRN US.
Some of the updates are already generally available, with all of them expected to become available before the end of May. And channel partners could potentially see more customers interested in Oracle database offerings with the new features reducing complexity. The goal is for a single data platform for businesses to store, clean, govern and analyze data from any source. “We are converging everything at the database level,” Zivanic said. “We want to eliminate the obstacle of, ‘I don’t know how to do that.’”
Oracle Autonomous Data Warehouse release brings machine learning to the masses
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Database giant Oracle Corp. announced a new release of its cloud-based Autonomous Data Warehouse service today, adding new capabilities that analysts say will help democratize machine learning.
Overall, the release transforms Oracle Autonomous Data Warehouse from a complex ecosystem of products into an “intuitive point-and-click, drag-and-drop experience” for data analysts and business users alike, the company said.
Launched in 2018, the Oracle Autonomous Data Warehouse is billed as an easy-to-use, self-healing and self-optimizing repository for all an organization’s information. It’s said to enable super-fast query performance and can scale as users require. Because it’s an autonomous service, Oracle takes care of all the provisioning, configuration, tuning, backups and security.