Modernizing legacy systems doesn’t have to mean a risky big-bang rewrite. This blog explores how the Strangler Fig Pattern, when…
Discover when Apache Flink is the right tool for your stream processing needs. Explore its role in stateful and stateless…
This blog explores Cardinal Health’s journey, exploring how its event-driven architecture and data streaming power use cases like supply chain…
Data integration is a hard challenge in every enterprise. Batch processing and Reverse ETL are common practices in a data…
Data streaming unifies OT/IT workloads by connecting information from sensors, PLCs, robotics and other manufacturing systems at the edge with…
The integration between Apache Kafka and Snowflake is often cumbersome. Options include near real-time ingestion with a Kafka Connect connector,…
Loyalty and rewards platforms are crucial for customer retention and revenue growth for many enterprises across industries. Apache Kafka provides…
This blog post explores the state of data streaming for the healthcare industry powered by Apache Kafka and Apache Flink.…
A Message broker has very different characteristics and use cases than a data streaming platform like Apache Kafka. Data integration,…
Recognizing and handling errors is essential for any reliable data streaming pipeline. This blog post explores best practices for implementing…