10 June 2025
It’s time to move on to building a full-fledged ETL process that covers all key stages of data handling in a single scenario – extraction, transformation […]
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- 3D Printing and Rendering
- 4D-6D and Calculation of Carbon Dioxide Emissions
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- A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACH
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- DESIGN PARAMETERIZATION AND USE OF LLM FOR CAD OPERATION
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- ETL AND PROCESS AUTOMATION
- EVOLUTION OF DATA USE IN THE CONSTRUCTION INDUSTRY
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- GEOMETRY IN CONSTRUCTION: FROM LINES TO CUBIC METERS
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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
- PART 4. DATA QUALITY: ORGANIZATION
- PART 5. COST AND TIME CALCULATIONS: INCORPORATING DATA INTO CONSTRUCTION PROCESSES
- PART 6. CAD AND BIM: MARKETING
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- PART 8. DATA STORAGE AND MANAGEMENT IN CONSTRUCTION
- PART 9. BIG DATA
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- TRANSFORMING DATA INTO STRUCTURED FORM
- TURNING CHAOS INTO ORDER AND REDUCING COMPLEXITY
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10 June 2025
Data from CAD systems and databases (BIM) are some of the most sophisticated and dynamically updated data sources in the business of construction companies. These applications […]
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
Some construction and engineering companies are already using the concept of Common Data Environment (CDE) according to ISO 19650. In essence, the CDE performs the same […]
10 June 2025
Traditionally, construction was based on subjective hypotheses and personal experience. Engineers assumed – with a certain degree of probability – how the material would behave, what […]
10 June 2025
Working with open datasets provides a unique opportunity to put into practice the principles discussed in previous chapters: judicious feature selection, representative sampling, visualization, and critical […]
10 June 2025
The databases of the various systems in the construction business – with their inevitably decaying and increasingly complex infrastructure – are becoming a breeding ground for […]
10 June 2025
One of the most famous examples of using ML in data analytics is the analysis of the Titanic dataset, which is often used to study the […]
10 June 2025
The data collected on the company’s projects opens up the possibility of building models capable of predicting the cost and time characteristics of future, not yet […]
10 June 2025
Machine learning is not magic, it’s just math, data and finding patterns. It has no real intelligence, but is a program trained on data to recognize […]
10 June 2025
Estimation of construction time and cost is one of the key processes in the activities of a construction company. Traditionally, such estimates are made by experts […]
10 June 2025
Linear regression is a fundamental data analysis algorithm that predicts the value of a variable based on a linear relationship with one or more other variables. […]
10 June 2025
We use the k-Nearest Neighbors (k-NN) algorithm as an additional predictor to estimate the cost and duration of a new project. The K-Nearest Neighbors (k-NN) algorithm […]
10 June 2025
Almost a century ago, mankind was already experiencing a similar technological revolution. The transition from steam engines to electric motors took more than four decades, but […]
10 June 2025
Construction is becoming an information management process. The more accurate, quality and complete the data, the more efficient the design, calculations, cost estimates, erection and operation […]
10 June 2025
For a long time, construction companies have been making money on non-transparent processes. The main business model was speculation – overestimating the cost of materials, scope […]
