CANCOM Data Management

In order to be able to manage data uniformly, companies must take into account three concepts that differ in function and area of application: the data warehouse, the data lake and the data hub. While the data warehouse and the data lake focus more on the collection and analysis of data, the data hub primarily serves as an intermediary and data exchange point.

Data Warehouse.
The data warehouse is a central repository for integrated and structured data from two or more different sources. This system is mainly used for reporting and data analysis and is considered a core component of business intelligence applications. Data warehouses implement predefined and repeatable analysis patterns that are distributed to a large number of users in the enterprise.

Data Hub.
Data hubs serve as a focal point for core data within a company. They centralize application-relevant enterprise data and enable seamless data exchange between different endpoints. At the same time, they are the primary source of trusted data when it comes to data governance initiatives. Data hubs provide master data for enterprise applications and processes. They are also used to connect business applications to analytics structures such as data warehouses and data lakes.

Data Lake.
The Data Lake is a repository of all structured and unstructured enterprise data. It hosts unrefined data with limited quality assurance and requires consumers to process and manually enhance the data. Data Lakes create the foundation for data preparation, reporting, visualization, analytics, and machine learning.