Apply discipline to your data production
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Software engineers use processes and tooling to instil discipline into the creation of software.
Daily data contracts tips
Give me a minute or two a day and I’ll show you how to transform your organisations data with data contracts.
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(Don’t worry—I hate spam, too, and I’ll NEVER share your email address with anyone!)Love to read the little tidbits of insight and advice! The fact everything is both short and to-the point makes it actionable and easy to implement. Of course it's clear that Andrew goes deep on data contracts, data products and all the minute details. But as someone once said, the people who really get things are the ones that can package it in a clear language! Focusing a lot on the (actually hard) aspects around driving changes in culture and people.
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2024
2 parts to implementing data contracts
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There are 2 parts to implementing data contracts.
A minimal data contract implementation
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A data contracts implementation doesn’t have to be complicated.
57% of data practitioners highlight data quality as one of their chief obstacles
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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.
Data producers need to know why
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It’s all very well saying, as I did yesterday, that data producers need to do more to provide us better quality data the data we need to solve our problems.
Data producers set the expectations
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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.
It's about data applicability, not quality
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I wrote yesterday how data quality shouldn’t be the focus.
Don't focus on data quality
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Data quality shouldn’t be the focus.
Active consumption
Are the consumers of your data platform active?
Active pulling and pushing of data
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I wrote a few weeks ago about the difference between active vs passive data publishing, and how the active publishing of data leads to better outcomes for your organisation.