Get the maximum
amount of data

We build an effective data warehouse architecture

Building a data warehouse

Proper data collection and processing allows you to obtain valuable information that can be used to implement goals contributing to company development

A data warehouse is a specialized database that collects and stores resources from distributed sources. Its aim is to properly structure them so that they are divided thematically. Thanks to this, warehouses can be used not only for data archiving, but also for reporting and conducting in-depth analyses.


Access to key information

Provides easy access to the most important information, while ensuring its safety

Real-time data analysis

Data integration from multiple sources

Combining data from many different sources, to provide a consistent view of your data.

Thematic classification

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Our offer

We support clients in all phases of the project.

From consulting, through designing and launching solutions, to the implementation of a ready-made system and its further development.

in technology selection

of the data model
Implementation of the data warehouse

of the data warehouse

When building data warehouses we use different solutions depending on the data volume, expectations and financial capabilities of the client. In the case of large volumes of data, we offer hybrid solutions based on proven big-data, commercial and open-source technologies. For the warehouses we use open-source ETL tools, paid ETL tools or high-performance online replication tools. We use tools from Oracle, Microsoft, Pentaho, Vertica and elements of the Hadoop ecosystem.

Our Partners

                                       Vertica's columnar architecture

We recommend the most advanced data warehouse that allows organisations to keep up with the size and complexity of huge amounts of data. By replacing your traditional data warehouse with Vertica Analytics, you can change the dynamics of your industry (retail, healthcare, telecommunications, energy, and more).

Column architecture

Storing data in a column layout significantly improves query execution (20 to 100 times faster) because it eliminates unnecessary I/O operations on disks and in memory.

High compression

High compression - tables take up 90% less space. The innovative query engine works directly on compressed data, which means fewer processor cycles are needed to process the compressed table.

Distributed processing

Ensures high data availability and improves search performance, because the queries are executed on the projections with the most appropriate set of columns and sort order for a given question.

Necessary mechanisms for security

The built-in database design tool provides the necessary mechanisms for data protection (redundancy) so that a failure does not disrupt the operation of the entire system. This approach avoids degrading database performance.


VERTICA is a well-known standard - SQL language, ACID transactions, JDBC interface. This platform also works with popular products for data extraction, transformation and loading (ETL) and business data analysis (BI).

The biggest innovation is how it works. VERTICA has been designed with great emphasis on minimising the time it takes to write and read operations from hard drives, and also provides standard support for grid computing environments. It is a solution for the 21st century, created especially for today's complex BI and machine learning applications that perform a lot of data reading operations.

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