10 June 2025
n8n is an Open Source Low-Code / No-Code platform for building automated workflows, characterized by ease of use, flexibility and the ability to quickly integrate with […]
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- 3D Printing and Rendering
- 4D-6D and Calculation of Carbon Dioxide Emissions
- 4D, 6D-8D AND CALCULATION OF CO2 CARBON EMISSIONS
- A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACH
- AUTOMATIC ETL CONVEYOR (PIPELINE)
- AUTOMATIC PIPELINE- ETL DATA VALIDATION
- Big Data
- BIG DATA AND ITS ANALYSIS
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- CHALLENGES IN WORKING WITH DATA IN THE CONSTRUCTION INDUSTRY
- CLASSIFICATION AND INTEGRATION: A COMMON LANGUAGE FOR CONSTRUCTION DATA
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- CONSTRUCTION ERP AND PMIS SYSTEMS
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- COST AND SCHEDULE FORECASTING USING MACHINE LEARNING
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- DATA ANALYTICS AND DATA-DRIVEN DECISION-MAKING
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- DATA FLOW WITHOUT MANUAL EFFORT: WHY ETL
- DATA FRAGMENTATION AND SILOS
- DATA INFRASTRUCTURE: FROM STORAGE FORMATS TO DIGITAL REPOSITORIES
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- DATA QUALITY REQUIREMENTS AND ASSURANCE
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- DATA WAREHOUSE MANAGEMENT AND CHAOS PREVENTION
- DATA-DRIVEN ESTIMATING AND QUANTITY TAKE-OFFS
- DataDrivenConstruction
- DESIGN PARAMETERIZATION AND USE OF LLM FOR CAD OPERATION
- EMERGENCE OF BIM-CONCEPTS IN THE CONSTRUCTION INDUSTRY
- Estimation and Scheduling
- ETL AND PROCESS AUTOMATION
- EVOLUTION OF DATA USE IN THE CONSTRUCTION INDUSTRY
- EVOLUTION OF THE USE OF DATA IN THE CONSTRUCTION INDUSTRY
- GEOMETRY IN CONSTRUCTION: FROM LINES TO CUBIC METERS
- Groupings and filtering
- IDE WITH LLM SUPPORT AND FUTURE PROGRAMMING CHANGES
- LLM AND THEIR ROLE IN DATA PROCESSING AND BUSINESS PROCESSES
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- OPEN DATA DOMINANCE
- ORCHESTRATION OF ETL AND WORKFLOWS: PRACTICAL SOLUTIONS
- PANDAS DATAFRAME AND LLM CHATGPT
- 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
- PART 7. DATA-DRIVEN DECISION-MAKING
- PART 8. DATA STORAGE AND MANAGEMENT IN CONSTRUCTION
- PART 9. BIG DATA
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- SYSTEMATIZATION OF REQUIREMENTS AND VALIDATION OF INFORMATION
- THE DIGITAL REVOLUTION AND THE EXPLOSION OF DATA
- THE FUTURE: PREDICTIONS, FORECASTS AND MACHINE LEARNING
- TRANSFORMING DATA INTO STRUCTURED FORM
- TURNING CHAOS INTO ORDER AND REDUCING COMPLEXITY
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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
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. […]
10 June 2025
Vector databases are a new class of repositories that do not just store data, but allow searching by meaning, comparing objects by semantic proximity, and creating […]
10 June 2025
Understanding and implementing the concepts of Data Governance, Data Minimalism, and preventing Data Swamp are key to successfully managing data warehouses and delivering business value (Fig. […]
10 June 2025
Traditional approaches to building data warehousing often result in the creation of disparate “silos of information” where important insights are inaccessible for analysis and decision making. […]
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
In the following example we will analyze a large dataset using data from different CAD tools (BIM). To collect and create the large dataset, a specialized […]
10 June 2025
IoT The Internet of Things represents a new wave of digital transformation in which every device gets its own IP address and becomes part of a […]
10 June 2025
The main hypothesis used to explore the machine learning framework based on the Titanic dataset is that certain groups of passengers had a higher chance of […]
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
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
Modern approaches to working with data are beginning to change decision-making in the construction industry. Moving from intuitive assessments to objective data analysis not only improves […]
10 June 2025
In the history of mankind, each such technological leap has brought fundamental changes to the economy and society. Today, we are witnessing a new wave of […]
10 June 2025
The construction industry is gradually entering a new phase of development, where familiar processes are increasingly being supplemented – and sometimes even replaced – by digital […]
10 June 2025
The following plan can serve as an initial benchmark – a starting point for shaping your own data-driven digital transformation strategy: Audit and standards: analyze current […]
