The data storage method is another important difference between a data lake and a data warehouse. A data lake stores raw information to make it easier to search through or analyze.

To James Serra, previously a big data and data warehousing solution architect at Microsoft, the difference between the two concepts lies in which users are accessing data.

The main differentiators are their use, the types of data they collect, how personalized that data is and how long they retain that data. What is a customer data platform?

Amazon spends $102 million in Ohio for data center land. Are server farms, data centers the same? Believe it or not, there is a difference between a data center and a server farm.