Bi-temporal data modeling with Envelope

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, it's that existing things are changing too, and if in our data models we overwrite the old state of an entity with the new state then we have lost information about the change. Read more The post Bi-temporal data modeling with Envelope appeared first on Cloudera Engineering Blog.

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This article is related to

CDH,Data Ingestion,Impala,Kudu,Spark,Bi-Temporal Data,Envelope