Get the maximum
amount of data
We build an effective data warehouse architecture
Building a data warehouse
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.
Benefits
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
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.
Consulting
in technology selection
of the data model
Maintenance
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
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.
Strengths
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.