10 June 2025
The construction schedule is a visual representation of the plan of activities and processes to be performed as part of the project implementation. It is created […]
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- PART 10. THE CONSTRUCTION INDUSTRY IN THE DIGITAL AGE. OPPORTUNITIES AND CHALLENGES
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10 June 2025
In addition to the topic of sustainability of construction projects at stage 6D (Fig. 5.3-5), modern construction focuses on the environmental sustainability of projects, where one […]
10 June 2025
Modular ERP systems integrate various attribute (information) layers and data flows into a single comprehensive system, allowing project managers to manage resources, finances, logistics and other […]
10 June 2025
Thanks to the ideas of the semantic web in the late 1990s and the efforts of organizations involved in the development of the IFC format, semantics […]
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
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
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 […]
10 June 2025
Apache Airflow is widely used to organize complex data processing processes, allowing to build flexible ETL -conveyors. Apache Airflow can be run either through a web […]
10 June 2025
Data warehouses allow companies to collect and combine information from different systems, creating a single center for subsequent analytics. Collected historical data enables not only deeper […]
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
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
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 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 […]
