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Business Analytics

How to build a cost-effective and robust streaming data pipeline

Envision a situation where you're tasked with managing clickstream data received via Snowplow. This was precisely the challenge faced by one of our clients, who manages substantial amounts of customer data through their platform. In this blog post, we'll guide you through their request and our solution by step. It all begins with setting the scene...

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Microsoft Fabric: The Game-Changer in Data Analytics?

Microsoft introduced Fabric this week. Possibly and probably the game-changing solution that can transform data analytics and integration. We dived into what Microsoft has unveiled with Microsoft Fabric and how this can impact Data Engineers, Analysts and Scientists. But we also have some open questions that we will answer once we are finished testing this exciting technology.

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Why software engineering best practices matter so much in data projects

With the rise of modern data platforms and cloud-based solutions, BI has become just one part of a much larger data ecosystem. This evolution has presented data teams with a host of new challenges, primarily in terms of the skills and expertise to create and manage data products that meet the needs of data consumers.

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Why lift-and-shift isn’t copy-and-paste

Lift-and-shift is potentially a very efficient method to move your applications to the cloud. You need to be aware, though, of the implications of the pay-as-you-go pricing model that comes with a cloud deployment. Check out our 3 tips to ensure lift-and-shift delivers the most cost-effective solution.

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