What is real-time data integration?

This is a podcast episode titled, What is real-time data integration?. The summary for this episode is: <p>This episode of <em>Techsplainers</em> explores real-time data integration—the process of capturing and processing data from multiple sources the instant it becomes available. Host Matt Finio explains why millisecond-level data access has become critical in today's business landscape, where the global datasphere will reach 394 zettabytes by 2028 and generative AI demands fresh, high-quality information. The episode distinguishes between streaming data (continuous flows from IoT devices or financial markets) and event data (specific changes like transactions or threshold triggers), while examining four key integration methods: Stream Data Integration (SDI), Change Data Capture (CDC), Application Integration, and Data Virtualization. Listeners will discover practical applications in operational intelligence, customer hyper-personalization, fraud detection, and artificial intelligence—all requiring the immediate insights that only real-time integration can provide.&nbsp;</p><p><br></p><p>Find more information at <a href="https://www.ibm.com/think/topics/real-time-data-integration" rel="noopener noreferrer" target="_blank">https://www.ibm.com/think/topics/real-time-data-integration</a></p><p>Find more episodes at <a href="https://www.ibm.biz/techsplainers-podcast" rel="noopener noreferrer" target="_blank">https://www.ibm.biz/techsplainers-podcast</a></p><p><br></p><p><strong>Narrated by Matt Finio&nbsp;</strong></p>