Jul 23, 2019

Data modeling with Druid

This module addresses best practices and considerations for data modeling in Druid. It covers why you can’t cut and paste a data model from an RDBMS, denormalization/flattening; schema design; column inclusion; field type options and selection; use of aggregation, complex data types like hyperunique and datasketches and multi-value arrays