What’s Damming Data Lakes? [INFOGRAPHIC]

A data lake is an alternative method for storing data. In some ways, data lakes replace data warehouses but can also be used in addition to governed data storage.

This 2016 trend has many experts conflicted while others are excited to explore the potential.

what's damming data lakes cover

In this infographic, you’ll learn about how data lakes run the risk of becoming “data swamps” instead, a term coined by 2014 Turing Award winner Michael Stonebraker.

Key differences between data lakes and data warehouses are explained through a fishing metaphor, and include details about the professionals in charge of data storage practices.

Experts from Tableau, Qlik and Logi Analytics offered us their advice and predictions. We’ve also included a comment from Gartner on this trend.

Feel free to share this page and the image below to help others understand the next generation of data storage:

data lake vs data warehouse Better Buys

Selecting The Right BI Vendor:
The Ultimate Guide

Choosing a BI vendor is all about finding the right fit. Our exclusive report will walk you through the process and help you select the perfect solution.Download Now


  1. Very helpful post with interesting infographic 🙂

  2. No, no, no!!! Data lakes DO NOT replace data warehouses!

    A data lake is just that – a place where data is pooled together, usually in its original form.

    A data warehouse is an ARCHITECTURE formulated using one of several methodologies – Third Normal Form, Data Vault or Star Schema.

    You still need to cleanse and structure the data in order to perform any meaningful analysis from it. You can’t just chuck your data in a data lake and hope for the best.

    Building a proper data warehouse is not a trivial task, and ETL tools are to be avoided. Now there are Data Warehouse Automation tools, and these should be considered before embarking on any Business Intelligence project.

    • Julia Scavicchio says:

      Thanks for your comment, Ian! I completely agree. The best way I’ve had this described is as a “sandbox” to explore relations in addition to having a structured warehouse.

  3. It’s a serious asset that data lakes enable both structured and unstructured data to be stored in the same place. While this is looked at as a positive thing, the technology is still fairly new, which means there are some kinks to iron out. It might be best to stick with what has been known to work until the technology is more reliable.

    • Julia Scavicchio says:

      On that thought, I think Brinkman said it best: “A good analogy is the the state of data warehousing and business intelligence circa 1996.”

Speak Your Mind