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Data quality includes reliability and availability. This section defines the expected freshness of the data, delivery latency targets, uptime requirements for data pipelines, and maximum acceptable error rates over a given timeframe. 4. System and Business Metadata

Driving Data Quality with Data Contracts | Data | eBook - Packt This section defines the expected freshness of the

Organizations typically use one of three main technologies to define and enforce structural schemas:

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To drive data quality, teams should treat contracts as code: Chad Sanderson | Substack Negotiation & Design

Show developers how much time they currently lose responding to frantic Slack messages from data teams asking, "Why did this column change?" delivery latency targets

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[Software Application] ---> (Schema Change) ---> [Data Pipeline] ---> [Data Warehouse] ---> [Broken Dashboard] (Producer) (Consumer)

For a more detailed guide to creating and implementing data contracts, please download our free PDF template and refer to the following resources: