As data ages, it tends to become less valuable. The rate at which data ages depends upon the circumstances, but in most cases, fresh data is much more valuable than stale data. Transactional systems that update traditional databases via batch may miss a huge opportunity to capture more fine-grain detail that could create rich data streams.
Learn how you can use Change Data Capture to continuously capture changes to the data that otherwise might be overwritten by batch updates, giving you rich streaming data without the need to rip and replace existing Databases.
In this webinar, you’ll learn:
About the opportunity to transform batch systems to streaming data sources
How to break down information silos and enrich your kafka topics
How to build robust data pipelines with Cloudera Stream Processing