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!
Black Friday, the pre-Christmas period, Valentine’s Day, Mother’s Day, Easter - all these events may be the prime time for the e-commerce and retail…
Read moreMLOps platforms delivered by GetInData allow us to pick best of breed technologies to cover crucial functionalities. MLflow is one of the key…
Read moreThe end of 2020 has come, and it's time to stop for a moment and look back. The past year was not the easiest one and presented us with many…
Read moreIn this episode of the RadioData Podcast, Adam Kawa talks with Michał Wróbel about business use cases at RenoFi (a U.S.-based FinTech), the Modern…
Read moreBig Data Technology Warsaw Summit 2020 is fast approaching. This will be 6th edition of the conference that is jointly organised by Evention and…
Read moreIn this blogpost series, we share takeaways from selected topics presented during the Big Data Tech Warsaw Summit ‘24. In the first part, which you…
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.
What did you find most impressive about GetInData?