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!
Big Data Technology Warsaw Summit 2021 is fast approaching. Please save the date - February 25th, 2021. This time the conference will be organized as…
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Outstanding customer experience is usually backed by robust data analytics. Same applies to Mamava, a business that celebrates and supports…
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Stream Processing In this White Paper we cover topic such as characteristic of streaming, the challegnges of stream processing, information about open…
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“Without data, you are another person with an opinion” These words from Edward Deming, a management guru, are the best definition of what means to…
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Knowledge sharing is one of our main missions. We regularly speak at international conferences, we contribute to open-source technologies, organize…
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Data Mesh as an answer In more complex Data Lakes, I usually meet the following problems in organizations that make data usage very inefficient: Teams…
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