How to build a modern data warehouse?

A comprehensive guide to your modern data analytics solution.

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What is a modern data warehouse?

Different users in your organization have different needs for data warehouses, whether they're part of an IT, data engineering, business analytics, or data science team.

A modern data architecture meets these diverse needs by providing a way to manage all data types, workloads, and analytics. It consists of architectural patterns that integrate the necessary components to work together according to industry best practices.

The modern data warehouse contains these components. It has the capacity to streamline data processes more efficiently than other warehouses, so that everyone from data scientists to IT teams can do their jobs faster and with more accuracy, and can focus on the innovative work that helps the organization grow without facing any roadblocks or complications.


Key benefits of a modern data warehouse

Benefit from industry-standard patterns and components which are integrated to work together.

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A consolidated database

Simplifying the organization of any data types and offers various approaches for manipulating it.

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Analytics options

More flexibility for easy utilization of data without having to move it.

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Automated management

Allows for fast and easy deployment, scaling, and management.

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Advanced support

Including SQL, machine learning, graphs and charts, as well as spatial processing.

In preparation

Designing a data warehouse

Steps you should take when designing your modern data warehouse.


Define your specific business requirements, anticipate end user's needs, agree on a scope, and come up with a conceptual design.


Create both a logical design (relationships) and a physical (storage and retrieval) design for your data warehouse.


Remember to allow room for expansion and evolution to meet the evolving needs of your end users.


Consider the advantages of cloud computing so you can focus on extracting value from your data.

Supporting the best technologies

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Databricks logo.
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What our customers are saying

See what industry leaders say about biGENIUS and their experience of working with us.

“Thanks to biGENIUS, we were able to lay the foundation for combining data from different sources into one report or dashboard.”

Evi Verschueren
Business Intelligence Team Lead, Smurfit Kappa

“The efficient DWH generator enabled us to achieve the required transparency with regard to marketplace performance within a very short time, in high quality and in compliance with BI best practices.”

Andreas von Ballmoos
Business Intelligence Lead, Scout24

“The biGENIUS team is knowledgeable about the inner workings of the application - stuff that you can't work out yourself as a customer.”

Tobias Rist
Data & Analytics Architect, Swica

“For us, it's really a central tool that should do a lot in helping people have a standardized approach for the whole firm.”

Sébastien Brennion
Business Intelligence & Analytics Engineer, Valiant Bank

“Since we have been using biGENIUS, we manage the development 100% internally. We did not only save a lot of money but, having built everything ourselves, we gained in efficiency as we are able to adapt any user requests right away.”

Marc Buthey
IT & Project Manager, Tirus International SA

Start smart, with your data automation today.

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