> #DataOrchestrators: Automate pipeline workflows
> #DataCatalog: Asset inventory with metadata
> #DataContracts: Define data exchange agreements
> #DataGovernance: Manage data availability & security
> #Idempotency: Repeatable operations
> #GraphDatabases: DBs with graph structures

Insightful high-level overview and talk about #apachedruid and how it fits in today's #dataarchitecture with #dataorchestrators #datalakes #sqlqueryengines and #olap systems from the #ApacheCon.

#dataengineering #machinelearning #datapipelines #bigdata #python #kafka

In #dataengineering sphere, you could use #dataorchestrators like @dagsterio which embrace the principle of functional data programming; gradual, optional typing; and testability as a first-class value. But what are your #approaches to this, and what's your go-to #frameworks?