28 August 2023
- All
- 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
- Blog
- CHALLENGES IN WORKING WITH DATA IN THE CONSTRUCTION INDUSTRY
- CLASSIFICATION AND INTEGRATION: A COMMON LANGUAGE FOR CONSTRUCTION DATA
- CLOSED PROJECT FORMATS AND INTEROPERABILITY ISSUES
- CONSTRUCTION ERP
- CONSTRUCTION ERP AND PMIS SYSTEMS
- CONSTRUCTION PROJECT COSTINGS AND ESTIMATES
- COST AND SCHEDULE FORECASTING USING MACHINE LEARNING
- COST CALCULATIONS AND ESTIMATES FOR CONSTRUCTION PROJECTS
- Dashboard and Data Visualization
- DATA ANALYTICS AND DATA-DRIVEN DECISION-MAKING
- DATA ANALYTICS AND DECISION-MAKING PROCESS
- Data Conversion
- DATA CONVERSION INTO A STRUCTURED FORM
- DATA FLOW WITHOUT MANUAL EFFORT: WHY ETL
- DATA FRAGMENTATION AND SILOS
- DATA INFRASTRUCTURE: FROM STORAGE FORMATS TO DIGITAL REPOSITORIES
- Data Management
- DATA MODELLING AND THE EMERGENCE OF STANDARDS
- Data Processing and Export
- DATA QUALITY REQUIREMENTS AND ASSURANCE
- DATA TYPES IN CONSTRUCTION
- DATA UNIFICATION AND STRUCTURING
- 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
- MACHINE LEARNING AND PREDICTIONS
- Main Page
- MANAGEMENT SYSTEMS IN CONSTRUCTION
- MODERN DATA TECHNOLOGIES IN THE CONSTRUCTION INDUSTRY
- News & Blog
- 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
- Pipelines
- Process Automation
- Project Management
- Quality Control
- QUANTITY TAKE-OFF AND AUTOMATIC CREATION OF ESTIMATES AND SCHEDULES
- Revit and IFC
- Software Integration
- SURVIVAL STRATEGIES: BUILDING COMPETITIVE ADVANTAGE
- 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
- Uncategorized
10 June 2025
Relational databases (RDBMS) are data warehousing systems that organize information into tables with defined relationships between them to efficiently store, process, and analyze data. Data organized […]
10 June 2025
The emergence of Large Language Models (LLMs) was a natural extension of the movement towards structured open data and the Open Source philosophy. When data becomes […]
10 June 2025
The next stage in the evolution of LLM application in business is the integration of models with actual real-time corporate data. This approach is called RAG […]
10 June 2025
In this part, we reviewed the key types of data used in the construction industry, got acquainted with different formats of their storage and analyzed the […]
10 June 2025
Having a data model and description of entities through parameters, we are ready to create databases – storages, where we will store information coming after the […]
10 June 2025
Up to 80% of data created in companies is in unstructured or semi-structured formats (“Structured and unstructured data: What’s the Difference?,” 2024) – text, documents, letters, […]
10 June 2025
In real construction projects, it is often necessary to perform aggregation by several attributes simultaneously within one group of elements. For example, when working with the […]
10 June 2025
In this part, we have shown how structured data becomes the basis for accurate cost and schedule calculations for construction projects. Automating the QTO, scheduling 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
A variety of charts and graphs are used to visualize indicators and metrics, which are typically combined into data showcases and dashboards. These dashboards provide a […]
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
After completion of the Transform stage, when the data have been brought to a structured form and verified, the final stage – Load, where the data […]
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
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
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
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
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 […]
