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data lineage
Data Science

Data lineage – let’s talk what’s good about it

Every piece of information or data goes through a journey from creation to final utilization. On this journey, you must keep points where something happened to that data. We often disregard all that is related to data by thinking that the information we got is as it is. After its

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custom pricing
Data Science

Your unique journey, your unique premium: Custom Pricing Unveiled

Picture this: On one hand, we have a thrill-seeking adventurer, who embraces a life of adrenaline and excitement, constantly seeking new challenges to conquer. Their world is brimming with boundless energy, exploring the wilderness through activities like rock climbing, off-road biking, or bungee jumping. On the other hand, we have

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data veracity
Data Science

Data veracity – why should you never forget about it

Data, in itself, has many characteristics and challenges, especially in the world of big data. Those who utilize or collect data know about the hardships it brings. That’s why there are some widely known descriptions and parameters of data where certain characteristics are described for better management. One of the

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augmented data management
Data Engineering

Why should you focus on augmented data management

As time goes on and the volume of data rises, traditional data management processes aren’t enough. It gets more complicated and time-consuming to draw out valuable data, process it, and prepare it for other data-related tasks. But, with the development of AI, we see the possibilities of augmented data management. 

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data gravity
Business

How to manage the pull of data gravity

If you are an enterprise company or an entity that either generates or collects enormous amounts of data, then you must be familiar with the fact that the more data you have, the more you’ll add on. As soon as you recognize the value of data in your everyday operations,

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machine learning
Data Science

Machine learning for mood prediction of high school students

With recent developments in the field of machine learning, collecting and analyzing data has become a crucial part of improving almost every industry in the world. This is why researchers from the Faculty of Education and Rehabilitation Sciences in Zagreb approached us to determine to which degree state-of-the-art machine learning

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