US software giant Oracle has unveiled a set of updates to its Oracle Autonomous Data Warehouse, the industry’s only self-driving cloud data warehouse.
The latest update will completely transform cloud data warehousing from a complex ecosystem of products, tools, and tasks that requires extensive technical expertise, time and money to perform data loading, data transformation and cleansing, business modeling, and machine learning into an intuitive point-and-click, drag-and-drop experience.
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The updates will allow businesses to get significantly more value from their data, achieve faster results, accelerate insights, and improve productivity.
“Oracle Autonomous Data Warehouse is the only fully self-driving cloud data warehouse today,” said Andrew Mendelsohn, executive vice president, database server technologies, Oracle.
“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.”
Oracle’s Autonomous Data Warehouse provide users with a single data platform built for businesses to ingest, transform, store, and govern all data to run diverse analytical workloads from any source, including departmental systems, enterprise data warehouses and data lakes.
“By using Oracle Analytics Cloud and Autonomous Data Warehouse, we’re able to apply machine learning and spatial analysis to better track check cashing behavior that mitigates risk and prevents fraud in real-time to help businesses and consumers more confidently engage in commerce,” said Eric Probst, Senior Manager, Fraud Analytics, Certegy.
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