One of the most fundamental aspects a data model can convey is how something changes over time. This makes sense when considering that we build data models to capture what is happening in the real world, and the real world is constantly changing. The challenge is that it’s not just that new things are occurring, […]
As a warm-up to Spark Summit West in San Francisco (June 6-8), we’ve added a new project to Cloudera Labs that makes building Spark Streaming pipelines considerably easier. Spark Streaming is the go-to engine for stream processing in the Cloudera stack. It allows developers to build stream data pipelines that harness the rich Spark API for […]