Being a Data Engineer is not only about moving the data but also about extracting value from it. Read an article on how we implemented anomalies detection for one of our clients that works in the podcasting industry, Acast. With the mechanisms we implemented, Acast employees are notified on the podcasts that suddenly gain or lose the audience. The results reveal trendsetting podcasts (the influencing ones, that grow episode after episode), hot topics (on shows that publish an episode that is listened all over the world) and also weird podcasts applications behaviour (sudden spikes in the listening pattern). All these anomalies notifications are based purely on the data and simple logarithm curve fitting - it's unbelievable what you can achieve with data&math!
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Read moreFrom 0 to MLOps with Snowflake ❄️ In the first part of the blogpost, we presented our kedro-snowflake plugin that enables you to run your Kedro…
Read moreTogether, we will select the best Big Data solutions for your organization and build a project that will have a real impact on your organization.
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