Building a data warehouse
and big data

Valuable information and useful insights discovered in your data every day

 

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  • Building a data warehouse

We build a data warehouse and big data architecture, supporting advanced analytics, ensuring the storage of resources from dispersed sources, streamlining the reporting process and conducting accurate analyzes.

Building a data warehouse and big data

Proper data collection and processing allows you to obtain valuable information that can be used in the implementation of goals contributing to the development of the company.

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 properly divided thematically. Thanks to this, data warehouses can be used not only for data archiving, but also for reporting and conducting in-depth analyzes.

Big data is a solution for large and diverse data sets coming from many sources, enabling advanced data analysis.

Benefits

Access to key information

Provides easy access to the most important information, by the way, taking care of their safety.

ata integration from multiple sources

Combine data from many different sources to provide a unified view in the data warehouse.

Real-time data analysis

Thematic classification

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We support clients in all phases of the project

From consulting, through designing data warehouses and big data and implementation of solutions, to the implementation of a ready system and its further development.

Consulting of technology selection

Designing a data warehouse and big data

Implementation of a data warehouse

Data warehouse maintenance

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

Our partners

Innovations

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

Vertica columnar architecture of the data warehouse

VERTICA is well-known standards - SQL language, ACID transactions, JDBC interface. The platform also works with popular data extraction, transformation, and loading (ETL) and business data analysis (BI) products. The biggest innovation is the way it works. VERTICA has been designed with great emphasis on minimizing the time of writing and reading 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.

Column architecture

Data warehouse 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.

Distributed processing

It provides high data availability and improves search performance because the queries are executed on the projections with the most appropriate column set and sort order for a given question.

Intense 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.

Necessary mechanisms for security

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

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