The explosive growth of data has forced organisations to use the enterprise data warehouse for purposes that it was never intended for, including running extraction, transformation, and loading workloads and storing large volumes of unused data. New types of data, updated analytics practices and more efficient and cost-effective methods of storing and accessing data have also put an additional strain on the EDW infrastructure.
Enterprise Data Warehouse (EDW) ― includes running extraction, transformation, and loading (ETL) workloads and storing large volumes of unused data. Choose an ETL platform that integrates data across multiple enterprise systems, while leveraging a high-performance parallel framework, available on-premises or in the cloud.
There are five capabilities for effective offloading. All enterprises should consider five capabilities when creating an offloading strategy to maximise the ROI of EDW offloading.
