Agility and speed are required in the cloud economy. Modernize data warehouses with built-in adaptive machine learning to eliminate manual labor for administrative tasks. With Oracle, businesses can now build data warehouses and data marts in minutes.
The Powerful Effect of Modernizing Your Enterprise Data Warehouse
Enterprises are demanding business value from big data. As a result, the ability to blend petabytes and exabytes of data from historical and streaming sources becomes a necessity and data warehouse modernization becomes a top priority.
Because it is often thought of as the heart of an enterprise’s big data and analytics strategies, modernizing it has a potentially powerful and very positive effect on the bottom-line impact of new technologies, platforms, tools, and practices. No matter what modernization strategy is in play, all data warehouses require significant adjustments to the logical and systems architectures of the extended data warehouse environment.
As data types and data velocities continue to diversify, enterprises are likewise diversifying their software and hardware portfolios to include tools and data platforms built for big data. Some organizations are even decommissioning current platforms to replace them with modern ones optimized for today’s requirements in big data, analytics, real-time, and cost control.
Data Warehouse Modernization Solutions
- Quickly create large data sets with little or no changes to existing process
- Add new analytics at a fraction of a cost unlike in traditional Data Warehousing Solutions.
- Replace traditional ETL approach with a modern self-service driven approach
- Manage huge volumes of data at Exabyte Scale
- Deliver Faster Analytics
- Integrate with existing BI, ETL Tools
- Eliminate Data Silos
- Big Data and Advanced Analytics Ready Data Warehouse Environment.
The extensive range of data warehouse modernization solutions will help you to extend and enhance your data warehouse infrastructure without any programming hassles.
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