Data lakes provide your business with a critical platform for offloading the storage and processing of data. Data lakes are used to support a wide variety of analytics applications, from fraud detection to social media monitoring. The success of your data lake is wholly dependent on keeping data fresh with changes captured in real time.
Challenges arise when data lakes must ingest data from legacy sources, such as the mainframe. Data lakes do not natively understand legacy data sources. As a result, most companies either deliver legacy data in batch on a delay, and some choose not to include legacy data in their data lakes at all. When you leave legacy data out of your data lake, you risk having analytics that only show half of the full data picture.
Real-time Change Data Capture technology picks up changes to your data as they happen and sends them to your data lake to keep it fresh.
Connect CDC helps data lakes stay fresh with real-time updates as application data changes on traditional platforms, including the mainframe. Connect CDC uses Change Data Capture to pick up changes to your data as they happen, transforms the data, and delivers it in real-time to data lakes, whether on-premises or in the cloud.
Learn more by reading our solution sheet on Connect CDC