The 5 key insights to developing data lakes. Download our free
white paper.

Especially for professionals such as CIOs, IT managers and decision makers, Luminis has written a white paper that helps you make decisions about the implementation of a data lake. This prevents unnecessary risks and gives you easy access to a better result.

In this white paper:
✓ The five most important insight into developing data lakes
✓ Examples of data lakes (e.g. Amazon and Fortnite)
✓ Alternatives for data lakes

Frequently Asked Questions

Is your question not listed? Then contact us at whitepapers@luminis.eu

 

Who is Luminis?

Luminis is a software and technology company with offices in Amsterdam, Apeldoorn, Arnhem, Eindhoven, Rotterdam end the UK. In these offices, more than 200 professionals work on high-tech solutions for our customers, which include brands like KLM, Nike and Bol.com. Luminis provides services in the fields of cloud technology, IT consultancy, dataOps and design. In addition, we have developed our own data-as-a-service cloud platform called InformationGrid, which helps our customers with their data management.
 

Is this white paper free?

Yes it is! We at Luminis like to share knowledge, it is part of our DNA and is actually one of our company’s core values. We believe sharing knowledge allows us to develop solutions to problems, and work together on improving the efficiency of organisations. Therefore we like to share information though white papers, articles, books, videos, blogs and events.
 

Why do I have to share my personal details?

We use your e-mail address to send the download link for the white paper. In addition, this white paper contains only a small amount of our knowledge on data lakes. We would therefore like to get in touch with interested parties in order to share even more knowledge and answer questions regarding this subject as well as other IT problems. If you no longer want us to contact you in the future, you can always unsubscribe easily with the unsubscribe button.
 

What information can I find in the white paper?

The whitepaper contains various topics, models and examples. This white paper contains practical information and is supported by theories. The following topics are covered: Origin of data lakes Structured versus unstructured data Data governance and data quality A central data lake or multiple data lakes Total solution or develop it yourself Alternatives to a data lake