Tutorial
Data online generation for event stream processing
In a lot of business cases that we solve at Getindata when working with our clients, we need to analyze sessions: a series of related events of actors…
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1 min read
Anomaly detection implemented in podcasting company
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!
6 April 2020
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Tutorial
Introduction to dbt Cloud - features, capabilities and limitations
dbt Cloud is a service that helps data analysts and engineers put their dbt deployments into production. As data-driven organizations continue to grow…
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Data skew in Flink SQL
Data processing in real-time has become crucial for businesses, and Apache Flink, with its powerful stream processing capabilities, is at the…
Read moreDATA Pill – the blue pill that (accidentally) works!
Ever felt overwhelmed by the flood of news about the latest technologies, tools, and trends in Data, AI, and ML? A new framework here, a revolutionary…
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2³ Reasons To Speak at Big Data Tech Warsaw 2020 (February 27th, 2020)
Big Data Technology Warsaw Summit 2020 is fast approaching. This will be 6th edition of the conference that is jointly organised by Evention and…
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Power of Big Data: MLOps for business.
Welcome to the next instalment of the “Power of Big Data” series. The entire series aims to make readers aware of how much Big Data is needed and how…
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