Are Data Lakes Dead?

Professionals working in data analysis or knowledge management certainly will have heard of data lakes. They have been used by large organizations to store huge volumes of data for years. A data lake is a storage solution that contains structured, unstructured, and semi-structured data. They are designed to store data in any format, from multimedia images and videos to text files.

But at the 2020 edition of the Modern Data Stack Conference, data lakes were deemed not as important now.



Data Lakes vs Data Warehouses

Data warehouses have emerged as viable replacements for data lakes. These are also used for storage purposes, but the data within is structured, filtered, and processed. The data stored here is meant for a specific purpose and has already been used at least once by the organization.

Some of the reasons why data lakes are falling out of popularity are their inherent limitations, such as:

• Cost and performance: While data warehouses are more expensive to maintain than data lakes, the organized data they contain makes analytics and making business decisions easier.
• Less data management optimization: Data lakes are geared more toward storing large quantities of data. But because computing and storage are separate, navigating this data can be less streamlined.

✶ Find out which strategy is best: data silos vs data lakes

Navigate Your Data Storage With Ease

While data lakes may be more of a legacy, they can still be useful and work best in conjunction with data warehouses, giving organizations a fast maximized storage and processing system. But even more important to help accelerate insights is having an enterprise search engine to manage all this data effectively. Unleash optimizes your data management by instantly searching every folder and application within your organization’s knowledge system. Why not try this fast and responsive search tool to make your data navigation more efficient?

Unleash AI Search App

4.8/5(281 reviews)

Book a Demo