6 key mistakes in DWH design
may 13, 2026 6 key mistakes in DWH design Data Warehouse (DWH) design lays the foundation for corporate analytics. Errors at this stage lead to slow report performance, complex maintenance, and rising costs, as well as a loss of trust in the product. In our article, we will examine typical mistakes, their consequences, and ways […]
When a company needs a data warehouse: 6 signs that it is time to build a DWH
april 13, 2026 When a company needs a data warehouse: 6 signs that it is time to build a DWH What a data warehouse is and why a business needs it A data warehouse (DWH) is a centralised system that collects data from various sources, brings it into a unified structure, stores it historically, and […]
Data catalog: comparison of solutions
march 12, 2026 Data catalog: comparison of solutions In the context of the exponential growth in data volume and complexity, modern organisations are facing challenges related to data manageability. A data catalog has evolved from simple documentation into a centralised platform that enables data governance, discovery, understanding, and trust. Its primary goal is to transform […]
ELK Stack
february 13, 2026 ELK Stack Today, company IT systems generate vast volumes of logs and events on a daily basis — ranging from user requests and application errors to infrastructure metrics and network activity. These data are critical for monitoring, troubleshooting, and ensuring the stable operation of services, but without the right tools they quickly […]
Introduction to Lakehouse
january 15, 2026 Introduction to Lakehouse In modern business, companies are increasingly faced with the need to combine large volumes of data from different sources — from sales and logistics systems to marketing reports and user activity. For this data to deliver real value, it is not enough merely to store it; it must also […]
How to build a data quality control system: experience with dbt and Soda
december 13, 2025 How to build a data quality control system: experience with dbt and Soda At the active development stage, a team’s primary efforts are usually focused on delivering functionality, but once a project moves into the maintenance phase, it quickly becomes clear that without systematic quality control, trust in the data begins to […]
AI and BI: differences and combined use
november 14, 2025 AI and BI: differences and combined use Business intelligence (BI) and artificial intelligence (AI) are powerful tools that help companies transform raw data into valuable insights and actions. In today’s world, where data volumes are growing exponentially, the ability to efficiently process, analyse, and use this information is critical for competitiveness. Goals […]
Advantages of using Apache Superset
october 30, 2025 Advantages of using Apache Superset In today’s business environment, data plays a key role. It forms the foundation for defining a company’s development direction, enhances competitiveness in the market, and provides valuable insights for optimising business processes. However, in order to correctly interpret and utilise data, reliable tools for analysis and visualisation […]
DWH ETL process optimisation: improving performance tenfold
october 14, 2025 DWH ETL process optimisation: improving performance tenfold During the development of a data warehouse (DWH) for business analytics, one of the key aspects is the efficient extraction of data from various sources such as other databases, CSV, HTML, and JSON files. Given the large volumes of data received daily, it is critically […]
Incremental population of fact tables in a dbt model
september 29, 2025 Incremental population of fact tables in a dbt model Data Build Tool (dbt) enables the consistency and freshness of analytical data in the warehouse. However, as projects scale, a key challenge emerges — implementing incremental updates for fact tables containing large volumes of event-based data spanning extended time periods. This article explores how […]