Data Lake: No more need to fish for data
Dive into the depths of your data
Exploring the power of Data Lake
What is a Data Lake?
What is the difference with traditional data management?
Unlike traditional data management warehouses, where the water is stagnant and stays in the same place, the data in a Data Lake is constantly moving, flowing, and evolving. You can add data to the lake at any time, from any source, and in any format. This means that you can keep all of your data in one place, without worrying about how it will be used or analyzed in the future.
- How do you build a data strategy tailored to your organization?
In this blog we give you some insights about the challenge we are seeking to tackle with data, and how we can contribute to achieving our business goals.
- Cloud Data Engineer
Inmon, Kimball or Linstedt? A dimensional model or not? Make a choice or go for a hybrid solution? And how does this work with cloud services from AWS, Microsoft or Google? Do you want to guide our clients in choosing the best solution for setting up or expanding their data platform? Then you might be the (Cloud) Data Engineer we are looking for!
Data, data, everywhere
but not a solution in sight? We've got you covered!
Data strategy is not just about collecting and analyzing information. It's about creating a culture of data-driven decision making, where insights are translated into actions and value is created for both the business and its customers— Stijn Vandereyken, Data Lead & Expert at ACA Group
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