Oracle announces a set of innovative enhancements to Oracle Autonomous Data Warehouse, the industry’s first and only self-driving cloud data warehouse. With this latest release, Oracle goes beyond other cloud offerings by completely transforming 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 for data analysts, citizen data scientists, and business users.
As a result, the solution empowers organizations of all sizes—from the smallest to the largest—to get significantly more value from their data, achieve faster results, accelerate insights, and improve productivity while lowering costs with zero administration.
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.
“Oracle Autonomous Data Warehouse is the only fully self-driving cloud data warehouse today,” said Marcos Pupo, Senior Vice President, Cloud Latin America at 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.”
Customers will also benefit from powerful new self-service graph modeling and graph analytics. To empower developers to build data-driven applications, Oracle offers Oracle APEX (Application Express) Application Development, a low-code application development tool built directly into its cloud data warehouse, as well as RESTful services, which makes it easy for any modern application to interact with warehouse data.
Unlike other vendors’ single-purpose, isolated databases in the cloud, Oracle Autonomous Data Warehouse provides support for multi-model, multi-workload, and multi-tenant requirements—all within a single, modern converged database engine—including JSON document, operational, analytic, graph, ML, and blockchain databases and services.
New Innovations in Oracle Autonomous Data Warehouse
The latest release includes many new innovations, not only a broad set of capabilities that make it easier for analysts, citizen data scientists, and line-of-business developers to take advantage of the industry’s first and only self-driving cloud data warehouse, but also features that deliver deeper analytics and tighter data lake integration. Key capabilities include:
What Customers Are Saying
“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-cass, 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.”
What Analysts Are Saying
“Our research, based on interviews with several customers around the globe, shows that those Oracle Autonomous Data Warehouse customers have achieved approximately 63 percent reduced total cost of operations, while increasing the productivity of data analytics teams by 27 percent, with breakeven on their investment having occurred in an average of five months,” said Carl Olofson, Research Vice President, Data Management Software, IDC. “This ROI included significant productivity gains across data, analytics, and developer teams. 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.”
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