Table schemas in data pipelines Spark: How to handle large, nested & growing ones
In this post, we describe how we built a pipeline for the type of “incoming data” situation, and how we came up with a good solution in the end.
In this post, we describe how we built a pipeline for the type of “incoming data” situation, and how we came up with a good solution in the end.
Jenkins Kubernetes Operator can help you avoid unexpected downtime in CI/CD and opens doors for doing canary or blue/green deployment.
There has come a time in every company when applications have developed to such an extent that a common content management solution is needed. It’s crucial to choose a proper one, which fits current requirements, but also will be ready for future growth.
This blog post covers mostly a summary of the significant amount of time spent with the team to help the company drive its large-scale Azure cloud transformation.
The below article describes the solution architecture we created for risk detection that provides results in real-time and at scale. Together with ksqlDB, features in the Kafka Streams framework help engineers focus on delivering real business value.