Data Lake Vs Data Warehouse Difference Between Them

Difference between Data Lake and Data Warehouse Next, we will learn the key difference between Azure data lake vs data warehouse.

Difference between Data Lake and Data Warehouse

Here are key differences between data lakes vs data warehouse:

Data Lake Concept

A Data Lake is a large size storage repository that holds a large amount of raw data in its original format until the time it is needed. Every data element in a Data lake is given a unique identifier and tagged with a set of extended metadata tags. It offers wide varieties of analytic capabilities.

Data Warehouse Concept

Data Warehouse stores data in files or folders which helps to organize and use the data to take strategic decisions. This storage system also gives a multi-dimensional view of atomic and summary data. The important functions which are needed to perform are:

Data Extraction Data Cleaning Data Transformation Data Loading and Refreshing