Mainframe Modernization and Integration with Data Streaming using Apache Kafka IBM MQ IIDR CDC Precisely Qlik
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Mainframe Integration with Data Streaming: Architecture, Business Value, Real-World Success

The mainframe is evolving—not fading. With cloud-native features, AI acceleration, and quantum-safe encryption, platforms like IBM z16 and z17 remain central to critical industries. But modern demands require real-time data access and system agility. Apache Kafka and Flink make this possible by streaming data bi-directionally between DB2, IMS, and MQ and cloud analytics platforms. This enables event-driven architectures without disrupting core systems. This post outlines proven strategies—offloading, integration, and replacement—and includes real-world examples across industries. The result: lower costs, faster innovation, and smarter use of legacy systems.
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Real Time Analytics and Machine Learning with Apache Kafka in Healthcare
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Real Time Analytics with Apache Kafka in the Healthcare Industry

IT modernization and innovative new technologies change the healthcare industry significantly. This blog series explores how data streaming with Apache Kafka enables real-time data processing and business process automation. This is part four: Real-Time Analytics. Examples include Cerner, Celmatix, CDC/Centers for Disease Control and Prevention.
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