• David Steenmeijer

    Analytics Translator David Connects Data Solutions and Business Value

    “These two disciplines, analytics and business, speak very different languages; it is my responsibility to make sure that they understand each other.” Discover how Aurai’s Analytics Translator, David Steenmeijer, enjoys working with the industry’s top data professionals and diverse organizations to solve puzzles that unlock value out of information.

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  • Fokke Dijkstra

    How Data Engineers Pave the Way to Data Optimization

    “If you like to optimize workflows, and make sure the process works smoothly, data engineering might be something for you. The skills of a Data Engineer are very transferable and help others. That is the most satisfying for me, honestly,” says Fokke Dijkstra, our Data Engineer. Find out how Fokke is strengthening his toolkit and […]

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  • Levi Pols

    Traversing Information Networks by Graph Databases

    Every meal we eat, every website we visit, every like on social media – everything we build is produced by an infrastructure of nonlinear systems or networks that mimic the tangled complexity of nature. Data Science, like the first steps in science, began by categorization: coding by organizing information tables, labels, lists and instructions. Discover […]

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  • Bas de Jonge

    Natural Language Processing & Text Mining

    Text mining is everywhere, even if you’ve never heard of it. If you have asked Google a question, you’ve mined text. It is inescapable in our daily digital lives, from the filtering of spam in our mailboxes to chatting with chatbots. The fields of text mining and natural language processing are rapidly expanding and becoming […]

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  • Bas de Jonge

    Advanced Natural Language Processing Techniques

    We took a deep dive into the basics of text mining in this earlier blog. In that blog we established the presence and importance of text data, and how important a baseline understanding of it is. We also addressed the approaches, techniques and processes involved with programming text data. There is a lot more to […]

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  • Don de Lange
    Meet our Aurai team

    Data Pipeline Implementation: Do It Yourself

    These instructions build on what has been discussed in ELT, ETL and Data Pipelines. In that guide, we discussed the problems that arise in storing and using data for a company. In response to those problems, we introduced the concept of Data Pipelines, which helps the company become better aware of the data loading steps and […]

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