They may be cliché by now, but the volume, variety, and velocity of data are real and continue to accelerate. Data sources are on the increase, too, and processing streaming data in real-time is becoming essential. How can you modernize your data pipeline infrastructure to meet these requirements, with room to grow as they intensify? 

Change Data Capture (CDC) technology, once a niche approach to keeping data warehouses updated, can now be leveraged to meet these data integration challenges, but there are many ways to CDC – not all created equal. 

To learn how this works, both through discussion and a concrete live demo, join us for this free 1-hour webinar from GigaOm Research. 

In this free 1-hour webinar, GigaOm Research Analyst Andrew Brust covers:

• Design tradeoffs to consider in moving to a modern data integration architecture
• Why driving real-time operations is critical in the pandemic and post-pandemic eras
• Why a “do-it-yourself” approach to streaming data processing can be costly
• Various CDC techniques and how the right ones can drive success

Why Attend

The right CDC approach can help streamline your data pipeline operations, giving you reliable, accurate, and timely real-time data. Highly adopted open source technologies, like Apache Spark and Kafka, can be brought to bear for a solid CDC implementation.

And while those technologies are often thought of in a code-first context, there are ways to leverage them and still work in a cutting-edge low-code/no-code fashion. These technologies also deliver faster deployment, streamlined monitoring, alerting, and maintenance.