Data Engineering Best Practices - #1. Data flow & Code
Start Data Engineering
JULY 20, 2023
1. Introduction 2. Sample project 3. Best practices 3.1. Use standard patterns that progressively transform your data 3.2. Ensure data is valid before exposing it to its consumers (aka data quality checks) 3.3. Avoid data duplicates with idempotent pipelines 3.4. Write DRY code & keep I/O separate from data transformation 3.5. Know the when, how, & what (aka metadata) of pipeline runs for easier debugging 3.
Let's personalize your content