Metadata
- Author: dbt Labs
- Full Title:: The Analytics Development Lifecycle
- Category:: 🗞️Articles
- Document Tags:: Data Analysis,
- URL:: https://www.getdbt.com/resources/guides/the-analytics-development-lifecycle
- Finished date:: 2024-09-15
Highlights
What is important to the ADLC is how these personas work together. Specifically, the ADLC requires two things.
- These personas must all collaborate together using a common workflow: the ADLC. The ADLC is not just for engineers and not just for analysts. It is a multi-persona workflow wherein every knowledge worker in an organization collaborates together. (View Highlight)
While the ADLC recognizes these three personas—the engineer, the analyst, and the decision-maker—it also encourages us not to see these personas as static. For example: • Analysts get pulled into engineering work to unblock themselves and move faster. • Decision-makers get pulled into analytical work to drill into any analysis provided and ask follow-up questions. • Many jobs are analyst / decision-maker hybrids, where the same person is both analyzing and decisioning on data. (View Highlight)
The most effective data practitioners can wear all three hats. And the best data tooling enables as many people as possible to wear all three hats. (View Highlight)
Create a test plan Before writing a line of code, answer how you will assert that the code you wrote is functioning as intended. What use cases does it need to handle? What problems does it need to be robust to? (View Highlight)