Also read: Top Big Data Storage Products Differences between data lake and data warehouse When storing big data, data lakes and data warehouses have different features. Data warehouses store ...

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 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 ...

Main features of a data lake The data lake must provide certain basic functions to meet the requirements of information-based applications. A wide variety of data and data formats, both structured and ...

Fundamentally, a data warehouse exists to aggregate, retain, and govern officially sanctioned, “single-version-of-the-truth” data records.

Data governance: While the data in the data lake tend to be mostly in different file-based formats, a data warehouse is mostly in database format, and it adds to the complexity in terms of data ...

Building a Data Lake on a Hadoop distribution became a critical project for most CDOs and CIOs. Over the years, we have seen broadly three approaches to building out the Data Lake: ...

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.

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 ...