Photo from academic.microsoft.com
One of the most popular methods for building analytical platforms involves the use of the concept of data lakes. A data lake is a storage system in which the data… Click to show full abstract
One of the most popular methods for building analytical platforms involves the use of the concept of data lakes. A data lake is a storage system in which the data are presented in their original format, making it difficult to conduct analytics or present aggregated data. To solve this issue, data marts are used, representing environments of stored data of highly specialized information, focused on the requests of employees of a certain department, the vector of an organization’s work. This article presents a study of big data storage formats in the Apache Hadoop platform when used to build data marts.
Journal Title: Applied Sciences
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!