Data quality

Rather than wait for high-value projects to come in through your ticket system.

If you’re looking at implementing data contracts or moving towards a data mesh you will hear a lot about shifting left.

AI can do many things.

Many data platforms start with a change data capture (CDC) service to extract data from an organisations transactional databases — the source of truth for their most valuable data.

dbt Lab’s 2024 State of Analytics Engineering found 57% of data practitioners highlight data quality as one of their chief obstacles in preparing data for analysis.

For a data consumer to know if the data is applicable to their use case, they need to know what to expect from the data.

I wrote yesterday how data quality shouldn’t be the focus.

Data quality shouldn’t be the focus.

What can you do with data you don’t trust?

We spend a lot of our time fixing the symptoms of poor quality data.