Grafik: Kurvendiagramm aus bunten Linien auf hellgrauem Hintergrund

Data warehouse: a central repository for data-based decisions

The modern business environment is a vast ocean of data that comes from a variety of sources. In a world where data-driven decisions are increasingly making the difference between success and failure, efficient data management is becoming more and more important. This is where the data warehouse comes in - a kind of central database that collects, organizes and stores data from a variety of sources and helps your company make more informed decisions.

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Was ist ein Data Warehouse?

A data warehouse is a digital system that stores data from different data sources and is optimized for performing queries and generating reports. It differs from an operational database in that it uses denormalized schemas and column-based storage. This enables fast queries and the flexible provision of data for business intelligence applications.

A data warehouse solution usually consists of the following components:

  • A relational database for storing and managing the data
  • An ETL solution for data preparation for analysis

Die BI-Architektur von Data Warehouses

Illustration: zwei Server, im Vordergrund ein Dashboard mit Datenanalysen

As a rule, the architecture for business intelligence applications consists of three main levels or layers. The structure consists of the database server, analysis engine and front-end client:

  • Database server (lowest layer):
    This is where data is loaded from transaction systems and external sources. The ETL process is designed in such a way that data is integrated automatically and seamlessly.
  • Analysis engine (middle layer):
    This serves as the analytical layer and is responsible for merging data from the lowest layer. Cross-database queries are executed to provide valuable insights.
  • Front-end client (top layer):
    This layer is responsible for displaying the results. Business analysts use dashboards to view reports and make informed decisions.

Why a data warehouse is indispensable for companies

Data warehousing has many advantages for you as a company. Company size and sector are irrelevant - every company benefits from this investment in the long term. We summarize the most important reasons for using a data warehouse:

By using data warehouses, you guarantee all employees continuous access to consistent and clean data from different sources. This significantly improves your data quality and integrity.

Thanks to the central storage of data, you can access information quickly and effectively. This allows you to make faster, better and ultimately more informed decisions, as they are based on reliable information.

A data warehouse can be easily adapted to the specific requirements of your company. It offers the flexibility to work with a variety of data sources, be it relational databases, operational systems such as ERP and CRM solutions or local storage. In a data lake, you can store different types of data and multimedia content as well as text information.

Thanks to the low-cost storage and the ability to perform complex queries, a data warehouse offers a cost-effective solution for data storage and analysis.

The right software solution for your data warehousing

With a data warehouse solution from atlantis dx, you receive a professional tool to ensure that your data is always available in a high-quality and up-to-date format. We develop new ways for you to make the best possible use of your existing systems. This gives you the greatest benefit for your company's success.

Logo von Talend

Talend's tools, a powerful and flexible data integration platform, enable the convenient and fast integration of all types of data. The required data is provided in a variable way and used for faster and more accurate analyses and ultimately for improved decision-making. Talend is also the right choice if you are planning a comprehensive business intelligence solution.

Starten Sie ins Data Management mit atlantis dx

The data warehouse is a powerful system for analyzing and querying data that supports you in making data-driven decisions. Its adaptability and rapid response to market changes create a key competitive advantage for you.

As an IT service provider with many years of experience in the field of data management, we work with you to master every digital challenge. We help you to set up, expand and efficiently operate modern solutions that meet your requirements. When it comes to data warehousing, we always take further-reaching goals into account, such as building a comprehensive data culture. Are you ready to take the next step towards successful data management? We at atlantis dx will be happy to support you with your individual project! Contact us today and let our specialists advise you in a non-binding initial consultation.

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Foto: Frontalaufnahme von Dario Waechter, dunkel Hintergrund
Your contact person:
Dario Waechter, Management | Partner

FAQ zu Data Warehouse

Data warehouses are designed for the analysis and reporting of cross-departmental company data and complex queries. An operational database, on the other hand, focuses on a specific business unit. In addition, a data warehouse uses denormalized schemas and column-based storage for faster and more flexible data provision, while operational databases usually use static schemas.

A data warehouse collects data from a variety of sources in a central repository.By storing and organizing this data centrally, faster and more efficient data retrieval is possible.Business analysts and decision makers can use this data to identify patterns and trends, leading to valuable new insights and more informed decisions.

No, a data warehouse makes sense for large, small and medium-sized companies alike. The scalability and flexibility of a data warehouse make it possible to respond to the specific requirements of a company. In addition, modern solutions are inexpensive in terms of storage, so that even companies with limited resources can benefit from the advantages of a data warehouse.