Data Engineering for FDEs — Forward Deployed Engineer (FDE) Roadmap
Working with the messy, inconsistent data that real enterprise clients actually have
Steps in Data Engineering for FDEs
- Understanding Messy Enterprise Data — intermediate · Why real client data is inconsistent, undocumented and full of edge cases no schema anticipated
- ETL and Data Pipelines Basics — intermediate · Extracting, transforming and loading data from client systems into a usable form
- Data Modeling and Ontologies — intermediate · Modeling a client's real-world objects and relationships as a coherent, queryable data model
- Data Quality and Validation — intermediate · Catching bad data before it silently breaks a client-facing tool or dashboard
- Working with Legacy Data Formats — intermediate · Parsing and normalizing fixed-width files, XML, EDI and other formats common in older enterprise systems
- Schema Mapping and Transformation — intermediate · Mapping fields between a client's source system schema and your target data model
Part of
- Forward Deployed Engineer (FDE) roadmap — the full learning path