A few days ago, I got a text message from a friend telling me that my favorite company’s stock price was suddenly tanking and that I should dump my holding. So I went to the news portal to get a stock quote and see where the stock price happens to be. I found that the stock didn’t move much at all. Thinking that it might’ve been a prank text message, I ignored it. To my dismay, the stock quote I saw was delayed by 20 minutes and the decline wasn’t yet reflected in the news portal.
This is the exact reason why sales, marketing, finance and manufacturing departments are all demanding access to real-time data. But there’s this delay. And data volumes have exploded over the past few years, which only overload and slow down systems even more. And at the center of these systems is the mainframe, which still holds the majority of transactional data today. The business is asking for real-time data. People are just trying to handle the increasing volumes and unfortunately missing the batch window!
The good news is both challenges can be solved with the same technology. It’s called change data capture (CDC). CDC is a technique used in data integration to identify, capture and deliver changes made to enterprise data sources in real-time such as the mainframe. By applying change data capture within a data integration environment it gives customers secure, non-invasive and codeless access to capture changes in mainframe data.
Using CDC as a data integration technique, you can eliminate batch windows because the changes are automatically captured and delivered 24×7. You can also deliver data in real-time to the business. When CDC is used for data integration, the risk of impacting existing applications is eliminated, because it’s noninvasive. You can also often decrease MIPS usage on a mainframe compared to other integration techniques, which gives more headroom for growth on the same hardware. We’ve seen customers decrease MIPS costs by 30%.
Are you taking advantage of change data capture in your data integration environment for your operational data integration, enterprise data warehousing, or master data management or data synchronization projects? Do it now. The business will understand.