Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

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.

There are many similarities between data migration and data integration, but they also have some key differences. Learn what they are.

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?