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How to Treat Your Data As a Product

Monte Carlo

And this idea of data as a product is kind of a continuum shift to start to change that.” Kyle Shannon , Senior Data & Analytics Engineer at SeatGeek, shared in the same webinar that his company is focusing on scalability due to the rapid growth of their data team.

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61 Data Observability Use Cases From Real Data Teams

Monte Carlo

Differentiate Data Products 25. Keep Critical Machine Learning Algorithms Online 27. An example of this is an engineer who had inserted a backfill process into production data that was not QA’ed (which as well all know happens). This impacted machine learning algorithms and dashboards used for real-time decision making.

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61 Data Observability Use Cases That Aren’t Totally Made Up

Monte Carlo

Differentiate Data Products 25. Keep Critical Machine Learning Algorithms Online 27. An example of this is an engineer who had inserted a backfill process into production data that was not QA’ed (which as well all know happens). This impacted machine learning algorithms and dashboards used for real-time decision making.