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Data Warehousing Architecture and Models

A Beginner's Guide To Data Storage For Businesses

It is very important that professionals understand how data warehousing services are offered. Some, for instance, will offer software tools hosted on their own server, whereas others allow you to run it on your own server. This is known as the data warehouse system’s architecture and is a highly complex field of work. People like Abhishek Gattani have specialized in this, creating corporate information factories that work for his clients. Other options include federated architecture, independent mart centralized warehouses, and linked dimensional data marts.

Gattani has also worked with organizations that decide to create bespoke data marts. This means that they operate independently. Commonly, however, there is a significant inconsistency between the various dimensions. As a result, analysis is made much more difficult.

Understanding Marts

Data architecture is about creating marts that can effectively communicate together. This means that data obtained is integrated and organized in a proper manner. Hence, it creates a more dimensional view. Often, this infrastructure can be maintained and scaled to the needs of the organization, getting data from different warehouses and being developed to suit the needs of different departments.

Centralized data warehouses are slightly different, particularly if they do not have a dependent data mart. Others prefer federated architecture, in which the data can be access through data warehouses, data marts, and operational systems. Everyone uses distributed queries, global metadata, and shared keys in order to access it. This option is most suited to those who have to make highly complex decisions.

Considerations

When choosing the right solution, Gattani recommends people think about:

· How much interdependence there is.

· How much information senior management needs from the rest of the organization.

· How urgent data must become available.

· Whether there is a need to use out of the box solutions for data analytics.

· How much IT personnel is available and what their technical capabilities are.

· How much data must be integrated and what type of scalability needs exist.

Which element matters the most varies depending on the organization itself. This is why it is recommended to enlist the services of someone like Abhishek Gattani, who can properly understand what an organization’s needs are, where their data comes from, who uses it, and how. Based on that, he will be able to develop an interface that is fit for purpose.

One key consideration in this is data security. Both the electronic and the physical aspects must be held properly secured. This means only the people with the right credentials can access the data, be that the physical, on-site data or the off-site emergency backup. Furthermore, there is significant legislation involved in this and said legislation changes regularly. Hence, it is equally important for businesses to find a solution vendor that can demonstrate how they will remain relevant and up to date with changing rules and legislation. Again, Gattani can be of tremendous help to ensure companies that move on to new data analytic solutions are fully compliant with relevant rules and have a solution available to them that works.

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