Oracle Departmental Data Warehouse is a complete, self-service data analytics solution enabling business teams to get the deep, trustworthy, data-driven insights they need to make quick decisions. The governed, secure solution reduces risks while increasing both IT and analysts' productivity.
With a self-service solution, business users independently load, transform data, build business models, and automatically discover insights powered by machine learning. IT reduces risks with a governed and secure solution. IT teams can additionally rely on a simple, reliable, and repeatable approach for all data analytics requests from business departments.Read the data-driven business agility without compromise paper (PDF)
Oracle Autonomous Data Warehouse intelligently automates provisioning, configuring, securing, patching, backing up, performance tuning and repairing of a data warehouse. This reduces administration effort by up to 90%, enabling business teams to operate independently while freeing up valuable resources for IT teams.Read the Moor Insights & Strategy report: 4 reasons why Oracle Autonomous Data Warehouse is right for IT and data consumers (PDF)
Customers can uniquely combine all necessary data across different sources and formats in a single converged database to drive secure collaboration around a single source of truth. Analysts can use graph, spatial analytics, build machine learning models, and create new applications themselves with no/low code built-in tools. Nothing more to purchase, install, and integrate.Watch how to empower business teams (1:55)
Any number of concurrent users can benefit from consistent, high query performance, even at peak times. Unlike other cloud services, Oracle Autonomous Data Warehouse scales while the service continues to run and can do so automatically to maintain performance. Compute resources can conversely be reduced or shut down during more quiet periods to reduce customers’ costs. All with no or minimal intervention from IT.Learn more about Oracle Autonomous Data Warehouse
Enable business users in finance, HR, or marketing to rapidly load, prepare, share, collaborate, and analyze data. Analysts benefit from a self-service data analytics solution that is governed, secure, and scalable.
Migrate existing data marts to Oracle Autonomous Data Warehouse to take advantage of unique automation benefits, eliminate human errors, and get consistent high performance. Leverage built-in data tools for simple, self-service data loading, data transformation, business modeling, and automatic insights. Existing Oracle Database customers can maintain the same data models, tools, and ETLs, making it simple to modernize.
Want to take advantage of Oracle Autonomous Data Warehouse while relying on a third-party analytics tool? Customers have a wide range of options.
Experts and citizen data scientists within business departments can build and deploy machine-learning models in Oracle Autonomous Data Warehouse, without moving the data to another system.
Oracle is taking a different approach and using automation to deliver a point-and-click, drag and drop experience that's so intuitive it's like the iOS of the enterprise cloud data warehouse space.
Patrick Moorhead Founder, President and Principal Analyst, Moor Insights & Strategy
Enabling data analysts, citizen data scientists, and business users to create and analyze their own data sets with self-service tools avoids IT bottlenecks and significantly improves their productivity.
Bradley Shimmin Chief Analyst, Omdia
In an earlier blog, we reviewed how Oracle Departmental Data Warehouse enables business teams to get the deep, trustworthy, data-driven insights they need to make quick decisions. Did we stop there? No we didn't. We aim to keep providing more value to analysts, as well as to line of business developers, data scientists, and DBAs. To that end, we recently released a new suite of data tools included for free in Autonomous Database.Read the complete post
Explore with $300 in free credits and always free instances of Oracle Autonomous Data Warehouse.
Learn how to provision Autonomous Data Warehouse and Oracle Analytics Cloud, how to create a connection from Oracle Analytics Cloud to Autonomous Data Warehouse, how to prepare a provided data set, and how to create visualizations with step-by-step instructions.
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