10 June 2025
In the construction industry, information comes from many sources – drawings, specifications, schedules and reports. To effectively manage this flow of information, it needs to be […]
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- PART 10. THE CONSTRUCTION INDUSTRY IN THE DIGITAL AGE. OPPORTUNITIES AND CHALLENGES
- PART 2. HOW THE CONSTRUCTION BUSINESS IS DROWNING IN DATA CHAOS
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10 June 2025
Data in information systems are organized in different ways – depending on the tasks and requirements for storing, processing and transmitting information. The key difference between […]
10 June 2025
Pandas occupies a special place in the world of data analysis and automation. It is one of the most popular and widely used libraries of the […]
10 June 2025
DataFrame is the central structure in the Pandas library, which is a two-dimensional table (Fig. 3.4-6) where rows correspond to individual objects or records and columns […]
10 June 2025
In the era of the data-driven economy, data is becoming the basis for decision-making rather than an obstacle. Instead of constantly adapting information to each new […]
10 June 2025
One of the most common tasks in construction projects is to process specifications in PDF format. To demonstrate the transition from unstructured data to a structured […]
10 June 2025
In addition to PDF documents with tables (Fig. 4.1-2) and scanned versions of tabular forms (Fig. 4.1-5), a significant part of information in project documentation is […]
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
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
The proprietary nature of CAD -systems has led to the fact that each program has its own unique data format, which is either closed and inaccessible […]
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) […]
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
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
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
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
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 […]
