Best Practices

• Data modelling in Sesam
  • Summary
  • Data handling philosophy
  • Global datasets
  • Namespace and namespaced identifiers
  • Naming conventions
  • Workflow for transforming data in Sesam
  • Tips for global datasets
  • How to do global datasets in Sesam
  • Recipe for generating global datasets
  • Additional Sesam tips
  • Examples of real global datasets
• Collect and Connect
  • Introduction
  • Principles of collecting data
  • Principles of connecting data
  • Semantics as a method of classification of data
• Data enrichment
  • Introduction
• Working on a Sesam project
  • Setting up a new Sesam project
  • Using Git in a Sesam project
• Sesam in Microsoft Azure
  • Introduction
  • Reference Architecture
  • Using Azure Data Factory with Sesam
  • Using Azure Synapse Analytics with Sesam