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Machine learning transforms the capabilities of big data into nearly limitless possibilities, particularly in a flexible cloud-environment built to scale as needed. Discover how your organization can make this leap.
Managing big data effectively, efficiently, and securely is harder than ever. But in today’s world of proliferating data, it’s become essential.
Only Oracle delivers a data management platform that absorbs and delivers data of any size and shape for any type of application: analytics or algorithm, across any type of environment: public cloud, local cloud, or on-premises.
Prepare and manage your data more easily. Combine your data more easily. And start analyzing it more easily to uncover insights you’ve never seen before—with true data discovery.
Utilizing big data allows organizations, analysts, and line-of-business users to make smarter and faster decisions using data and insights that were previously unobtainable or unknown. Strong data management elevates all aspects of the big data ecosystem. The result is a cohesive blend of scalability and efficiency, with individual big data components all balanced to optimize the underlying infrastructure. This ultimately benefits everyone, from IT teams supporting the hardware to data scientists building the models to business teams discovering new insights.
Bring all of the different types of data into your organization. Whether it’s data at rest or data in motion, internal or external data, all of your data must be moved and prepared so that others can consume it.
Cloud-based data lakes and data labs provide flexible configurations to match the needs of the workload and quick scalability. Use Hadoop and Spark, and you can also bring your own tools. Extend your on-premises environments with dev/test and lab environments in the cloud.
Whether it’s simple visualizations or powerful machine learning algorithms, insights come when you apply the right analytics to all of your data. Make your data available to everyone, from executives using voice commands or data scientists using notebook technology.
Deloitte Mexico achieved the performance and flexibility needed for their customers' big data use cases, internally and externally, with Oracle Big Data Appliance.
Exelon has consolidated disparate data silos into an enterprise data lake on Oracle Exadata and Oracle Big Data Appliance with Big Data SQL to provide users a single pane of glass for analysis of structured and unstructured data.
Hear how OUTFRONT Media will leverage Oracle's big data platform to harness streaming data and the Internet of Things to change how they place and track outdoor advertising assets to create new opportunities for their customers.
Kingold Group adopts Oracle Cloud at Customer to transform its IT network into a cloud architecture while adhering to data sovereignty concerns.
Daiwa chose Oracle Big Data Appliance as a total solution and got well-planned education for both technical staff and business users.
The head of data at Wiggle talks about using Oracle Big Data Cloud to create data agility and drive performance across the enterprise.
Bill Bartling, Inland District Deputy for the California Department of Conservation, describes how Oracle met the department's big data challenge and helped identify fraudulent oil production in just two weeks.
Nishant Nair, CEO of RecVue, speaks about Oracle Big Data Cloud and the trillions of data points, analyzed in real time, that drive new revenue.
Big data benefits every industry and every organization. Discover the top 22 use cases for big data and see where you fit in.
Discover real-life success stories from pioneers who use big data every day to unlock new opportunities.
Learn more about data lakes and how they help organizations use data to uncover new insights.