Article · Data & AI
Data integration starts with the operational question to answer
ETL, ELT, APIs and streaming are implementation choices. Strategy starts with sources, consumers, frequency and transformation rules.
An integration strategy starts before pipeline design. The question is which decision, process or product needs trusted data; then come sources, frequency, transformation, ownership and technology. This order reduces the risk of building technically sophisticated flows that are rarely used.
Question for your context
Which business question must the flow answer, and how often must the answer be refreshed?
An idea that can shape the next decision.
ETL, ELT, APIs and streaming are implementation choices. Strategy starts with sources, consumers, frequency and transformation rules.
Describe the consumer and decision before the architecture.
Choose batch, API or streaming according to freshness needs.
Define contracts and ownership for each critical flow.
Article · Data & AI
Bring the topic into your context.
An initial conversation helps connect the concept to your environment’s priorities, dependencies and capabilities.