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Oracle Updates Autonomous Data Warehouse: Here’s What To Know

The company is seeking to converge services at the database level and make Autonomous Data Warehouse easier to use.

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New Tools And Interfaces

With the updates to Oracle’s Autonomous Data Warehouse, novices can load data and make it available to colleagues through dragging and dropping.

A goal with the updates is to automate administrative tasks needed for databases, Neil Mendelson, Oracle’s vice president of big data and advanced analytics, told CRN.

“The sky’s the limit with what you can do when these tools can be built by anyone,“ Mendelson said. “We want to empower the next generation data analyst with the next generation cloud data warehouse.”

Oracle adds a no-code user interface for automated machine learning through the AutoML UI. The interface automates machine learning model creation steps to speed up the process, improve model quality and allow novices to use machine learning.

On Oracle’s latest quarterly call with analysts, CTO Larry Ellison (pictured) pointed to the company’s database business as a key growth area. Fueling part of that growth is Autonomous Database--which includes Autonomous Data Warehouse as one of its key solutions--and which Ellison called both a cost saver and a way to avoid human errors and security threats.

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