Apache Kafka and Apache Flink are leading open-source frameworks for data streaming that serve as the foundation for cloud services,…
This blog explores Cardinal Health’s journey, exploring how its event-driven architecture and data streaming power use cases like supply chain…
In the age of digitization, the concept of pricing is no longer fixed or manual. Instead, companies increasingly use dynamic…
In financial services, the ability to prevent fraud in real-time is not just a competitive advantage - it is a…
Choosing between Apache Kafka, Azure Event Hubs, and Confluent Cloud for data streaming is critical when building a Microsoft Fabric…
An open table format framework like Apache Iceberg is essential in the enterprise architecture to ensure reliable data management and…
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,…
Snowflake is a leading cloud-native data warehouse. Integration patterns include batch data integration, Zero ETL and near real-time data ingestion…