Oracle has released next-generation of its Autonomous Data Warehouse that will empower organizations to get more value from their data, achieve faster results, accelerate insights and improve productivity while lowering costs.
The latest enhancements to Oracle Autonomous Data Warehouse provide 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.
“The next generation of Autonomous Data Warehouse provides 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.
Oracle Autonomous Data Warehouse provides support for multi-model, multi-workload, and multi-tenant requirements.
“With these integrated tools incorporated in Oracle Autonomous Data Warehouse, productivity gains will further increase, enabling businesses to achieve an even better ROI,” said Carl Olofson, research vice president, Data Management Software, IDC.
Response from customers
“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.
“With Oracle Autonomous Data Warehouse and APEX, I not only have a world-class, scalable, super-secure, super-powerful database engine, but with the built-in application development tools, I can also build and deploy applications almost right away so that I can get people access to data,” said Frank Hoogendoorn, chief data officer, MineSense. “I don’t know of any other platform where I can do that out of the box.”
“Having innovative capabilities for loading data that’s built right into Oracle Autonomous Data Warehouse should save us a tremendous amount of time,” said Derek Hayden, SVP of Data Strategy and Analytics, OUTFRONT Media. “The declarative extract, load, and transform with its drag-and-drop functionality will enable us to quickly load and transform multiple data types, and see the relationships within the data through the auto-insights capability.”
“Oracle Autonomous Data Warehouse has reduced time-to-market for a typical data warehouse project from three months to three days, while delivering deeper and more actionable insights,” said Steven Chang, CIO, Kingold. “Being able to benefit from increased automation for data ingestion, transformation, building business models and getting insights is excellent news, and we’re looking forward to using those capabilities.”