A data hub is a centralized system that takes multiple data options and synchronizes them. This permits the data to be easily understood by end-point systems like analytics applications.
Data hubs make use of a set of ETL/ELT tools to structure and transform uncooked data. This could include indexing, mapping, formatting and providing semantic consistency. This kind of translates into three critical functions:
The target is to make a coherent data layer which can be used as a common source for all downstream systems. This kind of data can then be consumed by simply end-point systems like analytics applications, dashboards or even 3 DIMENSIONAL engineering layouts. The most important here are the findings aspect of a data hub buildings is that it is designed for operational efficiency. For instance features such as:
Data link architecture also need to be able to combine with main business systems. This can be carried out through productized connectivity to advanced analytics tools and creation applications. It should also be qualified to support a “push” workflow capability that enables external applications to be activated by programmatic times or perhaps conditions such as changes in data.
This will likely enable the information hub to act as a entrance for external applications, which is extremely useful in reducing overall integration costs. Data hubs can be based upon various safe-keeping types, together with a data storage place, a data lake or a multi-model database.