Avoiding the data warehouse vs data lake hype and misinformation
It is not uncommon to see a data lake framed as just “storage,” or claims are made that a data warehouse is a lake. As a result, this narrow dialogue gets stuck on consultant or vendor talking points that artificially pit both models against each other.
The innovative, strategic discussion is about how a lake and warehouse are designed to work in tandem. Specific jobs and tasks, traditionally done in a warehouse, can be offloaded to a data lake for cost efficiency. Pairing the two can ensure flexibility across both engineering and business capabilities.
Ultimately, the warehouse and data lake service model are about delivering business value.
Below, we have compiled a few posts on the topic
- Data Lakes? Big Myths About Architecture, Strategy, and Analytics
- Sorry, Data Lakes Are Not “Legacy”
- How To Create A Data Lake In Azure
- How To Create A Serverless, Zero Infrastructure, Zero Administration Data Lake With Amazon S3…
- 4 Steps To Create a Serverless Analytics Stack with Tableau and Amazon Athena
Data Lake vs Data Warehouse: Which Is Better? was originally published in Openbridge on Medium, where people are continuing the conversation by highlighting and responding to this story.
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