Data lakes and data warehouses are both very important for data analysis - and very different. Here's how to decide which you need.

We asked experts to help us shed light on the differences between a data lake and a data warehouse and what that means for your organization.

Dive into data lakes—what they are, how they're used, and how data lakes are both different and complementary to data warehouses.

A data warehouse contains structured data whereas a data lake can contain structured, unstructured, and semi-structured data. Data in the data lake comes from multiple sources and will have varying ...

A data lake isn't the same as a data warehouse and vice versa. The easy thing to do, IMO, is to evaluate whether what you want to do is one or the other and then proceeding from there. Just ...

What is a data lake? Some mistakenly believe that a data lake is just the 2.0 version of a data warehouse. While they are similar, they are different tools that should be used for different purposes.

A Super-Simple Explanation For Anyone If you’re even tangentially involved with big data, you know that finding storage solutions for the volumes of data being generated every second is of utmost ...

A data lake is not so highly organized. Cloud computing experts started using the term data lake to differentiate the storage of both structured and unstructured data compared to a data warehouse.

Data lakes are big, amorphous and difficult to access. Data warehouses are costly and aimed at structured data. The data lakehouse aims at analytics in an age of unstructured data ...