Oracle refreshes cloud data warehouse to improve self-service data science

Oracle extends IT-less self-service data management in the cloud

Oracle has announced a raft of updates to Autonomous Data Warehouse, the cloud data warehouse it launched in 2018.

The updates are designed to make tasks such as data loading, cleansing, business modeling, and machine learning, less technical and performable by data analysts and business users without the need of IT support.

New machine learning updates mean data analysts can instantly spin up business models to find patterns and access tools to build models driven by AutoML, a set of open methods for building AI models.

And new Python capabilities allow Python pros to use the language to apply machine learning to data warehouse data, opening up high-performance parallel capabilities that make the process speedier.

Other updates include graph creation, analysis and querying via property graph query language, alongside a graph studio to make the process of graph analytics more user-friendly.

Meanwhile, an extension to the data lake capabilities within Autonomous Data Warehouse allows data analysts to query data in Oracle’s Hadoop service and simplify and automate data discovery in object storage via integration with OCI Data Catalog.

“With this next generation of Autonomous Data Warehouse, we provide a set of easy-to-use, no-code tools that uniquely empower business analysts to be citizen data scientists, data engineers, and developers,” said Andrew Mendelsohn, executive vice president, database server technologies, Oracle.

According to IDC, Oracle Autonomous Data Warehouse customers have achieved approximately 63 percent reduced total cost of operation and increased the productivity of their data analytics teams by 27 percent.

“This ROI included significant productivity gains across data, analytics, and developer teams,” said Carl Olofson, Research Vice President, Data Management Software, IDC.

“While individual customer results may vary, the benefits found in this study are indicative of the kind of improvements that most may expect.”

“With these new intuitive integrated tools incorporated in Oracle Autonomous Data Warehouse, it is reasonable to expect that productivity gains will further increase, enabling businesses to achieve an even better ROI.”