A while ago, back in mid 2015, we published a post on our blog about how the age of big data is changing the data warehousing landscape.
With constant changes, the development of new tools, and the ongoing overall increase in data amounts as part of the digitalisation, it is about time that we have another take on this interesting topic.
In this reworked and updated version of our previous post, we talk about various occurring problems that appear in data warehousing, and how to solve them. We show how you can significantly shorten the time to insights for certain use cases, answer common questions, and give some recommendations for most efficient data warehousing.
If you are interested, you can download this updated whitepaper for free.