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, […]
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10 June 2025
All new data entering the system – be it documents, tables or database entries from the client, architect, engineer, foreman, logistician or property manager – must […]
10 June 2025
Translating unstructured data into a structured form significantly improves the efficiency of various processes: it simplifies data processing (Fig. 4.1-1, Fig. 4.1-2) and speeds up the […]
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
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 […]
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
The process of data processing from DWG -files due to the unstructured nature of the information – has always been a complex task, requiring specialized software […]
10 June 2025
After the steps of collecting, structuring, cleaning and verifying the information, a coherent and analyzable data set has been formed. The previous parts of the book […]
10 June 2025
In today’s construction industry, where project data is characterized by complexity and multi-level structure, visualization plays a key role. Visualization of data allows project managers and […]
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
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
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
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
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 […]
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
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
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 […]
