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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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Let’s face it: data doesn’t drive business value

Like oil, data has no value in its raw format. Instead, the value of your data lies in its potential to generate insights or products: it needs to be extracted, refined, and processed before it can generate value. So what does it cost to create value from your data? And how to quantify the business value of a data project?

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Stay Ahead of the Game: Top Trends Transforming Data Quality in 2023

As data quality can make or break the effectiveness of data-driven decision-making processes, data quality remains a top priority for any organization. So, let’s kick off the new year with an overview of the key data quality trends that will shape how you manage and leverage the quality of your data.

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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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AI: The Future is Now - Are You Ready to Embrace it?

This blogpost will look into the evolution that AI has made in order to become what it is today. Next to that we will look forward, how AI can likely impact our future. Lastly, we will try to formulate a plan of attack that companies need to consider to be best prepared for the drastic changes that AI will have on our way of working.

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Kickstart Data Quality by Design with Great Expectations

Great Expectations, an open-source Python library, provides an excellent framework to kickstart your Data Quality by Design projects, creating visibility for data quality issues, and triggering calls to action for everyone involved.

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Meet Michel: "Sometimes there are moments when I struggle, but then you know you can count on the colleagues around you within Datashift."

Datashift keeps growing and attracting new talent, but now we want to put some of our more senior colleagues in the spotlight. Michel is a strong force behind Datashift and has been for more than 5 years been in the company. Michel saw Datashift growing and he shares his thoughts on past and future.

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How to query your S3 Data Lake using Athena within an AWS Glue Python shell job

AWS Glue, the serverless ETL service of AWS, supports two types of jobs: Spark and Python shell. In this article, we'll focus on Python shell jobs and explain how you can make optimal use of your S3 Data Lake using Athena within Python shell jobs.

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3 priceless tips to help you succeed in Data Governance user adoption

Data Governance is a collaborative process, and its implementation hinges on user adoption. Fortunately, much can be done to boost Data Governance user adoption. Check out our 3 priceless tips.

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