Get to know our data detectives – Wilim

data engineer data detective

Come and meet Wilim, our data detective and data engineer. With a name so unique, you can bet his data skills are also unique. Dive deep into what he loves about his works, what motivates him, and why he believes data engineering brings so much fun and creativity. Tell us who you are and what […]

How to setup a Kafka Streaming project

Streaming Kafka

If you’ve read the previous blog post about this project, you should already know what was the main idea of the project. We’re trying to estimate the unit sales of more than 3000 distinct items in 10 different Walmart stores. The dataset provides us with more than 5 years of data about the dates on […]

Get to know our data detectives – Dario

Het to know our data detectives

If you all wondered who our data detectives are and what they are like, well, dive into this short interview. We tried catching up with Dario to tell us something about himself. He usually spends his day deep in data, but he’s also running the business development team and you can often find him jumping […]

The endless possibilities of machine learning

Machine learning

Machine learning – such a powerful and popular term that has taken over the software development industry, especially data-driven software solutions. It’s a method of data analysis that is based on the concept that systems can learn from data, identify patterns, and forecast future movements. For many companies that either generate or collect vast amounts […]

What are wearable devices without data science and engineering?

In the world of wearable devices, user experience is dependent on metrics and insights they get from using such devices. The accuracy of those metrics is driven by the processes and methods in the fields of data science and data engineering. Our own data detective, Dario Bošnjak had the pleasure of working with the producer […]

Are You Concerned About Starting a Data Science Project?

If you are reading this, there is a high probability that you have a problem and you think that data can be a solution for it. Another option is that the data is your problem — you have lots of it but it is not clean, comes from many sources, and is unorganized and unreliable. […]