10 June 2025
The emergence of the AOUSD alliance (Apple.com, “Pixar, Adobe, Apple and NVIDIA form Alliance for OpenUSD to drive open standards for 3D content,” August 1, 2023) […]
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- A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACH
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- PART 1. FROM CLAY TABLETS TO THE DIGITAL REVOLUTION: HOW INFORMATION HAS EVOLVED IN CONSTRUCTION
- PART 10. THE CONSTRUCTION INDUSTRY IN THE DIGITAL AGE. OPPORTUNITIES AND CHALLENGES
- PART 2. HOW THE CONSTRUCTION BUSINESS IS DROWNING IN DATA CHAOS
- PART 3. DATA FRAMEWORK IN CONSTRUCTION BUSINESS PROCESSES
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10 June 2025
In engineering practice, volumes and areas are computed from geometric surfaces described analytically or through parametric models such as NURBS (nonuniform rational B-splines) within the BREP […]
10 June 2025
In the construction industry, when streaming, developing systems, databases or automating processes that work with design information and feature geometry, it is important to strive for […]
10 June 2025
Taking advantage of the lack of open access to CAD databases and limited competition in the data processing market, and using marketing campaigns related to the […]
10 June 2025
Modern CAD (BIM) platforms have significantly transformed the approach to design and construction information management. While previously these tools were mainly used to create drawings and […]
10 June 2025
In addition to the development of CAD database access tools and open and simplified CAD -formats, the emergence of LLM -tools (Large Language Models) is revolutionizing […]
10 June 2025
The process of data processing from DWG -files due to the unstructured nature of the information – has always been a complex task, requiring specialized software […]
10 June 2025
When key performance indicators (KPI) stop growing, despite the increase in data volumes and team size, company management inevitably comes to the realization of the need […]
10 June 2025
The first stage of the ETL process – Extract) – starts with writing code to collect data sets to be further checked and processed. To do […]
10 June 2025
The Transform step is where the data is processed and transformed. This process may include correctness checking, normalization, filling in missing values and validation using automated […]
10 June 2025
Automating reporting at the ETL stage Load is an important step in data processing, especially when the results of the analysis need to be presented in […]
10 June 2025
At the Load stage, the results were generated in the form of tables, graphs and final PDF reports prepared in accordance with the established requirements. Further […]
10 June 2025
In the previous chapters on creating data requirements and automating ETL, we step-by-step broke down the process of data preparation, transformation, validation, and visualization. These activities […]
10 June 2025
Apache Airflow is a free and open source platform, designed to automate, orchestrate and monitor workflows (ETL -conveyors). Working with large amounts of data is required […]
10 June 2025
Today’s construction companies operate in an environment of high uncertainty: changing material prices, delayed deliveries, labor shortages and tight project deadlines. The use of analytical dashboards, […]
10 June 2025
Everything in the Universe consists of the smallest building blocks – atoms and molecules, and over time all living and non-living things inevitably return to this […]
10 June 2025
Storage formats play a key role in the scalability, reliability, and performance of analytics infrastructure. For data analysis and processing – such as filtering, grouping, and […]
10 June 2025
One of the popular formats for storing and processing big data is Apache Parquet. This format is designed specifically for columnar storage (similar to Pandas), which […]
10 June 2025
Just as the Parquet format is optimized for efficient storage of large amounts of information, the Data Warehouse is optimized for integrating and structuring data to […]
10 June 2025
Classic DWH – data warehouses, designed to store structured data in a format optimized for analytical queries, have faced limitations in handling unstructured data and scalability. […]
