ABOUT

Any data science initiative depends on data to work. That data has to be modeled and managed well in order to get value out of it. However, the approach we take around data modelling can be influenced by the ways that we store data over time. Understanding this in advance can make it easier to get to answers from our data, and also avoid problems caused by bad decisions or overlooking data modelling at the start.

In this session learn about applying data modelling based on taking concepts through to logical workflows & understand how to implement a data model on Apache Cassandra