There is no denying that big data and architecture software are intricately connected. As a matter of fact, the versatility and accuracy of architecture software of today would not be possible without the presence of big data.
With that in mind, let us take a closer look at the brief history of big data and its impact on the application of architecture software in this day and age.
Overwhelming amounts of information were frustrating even to those who dealt with them in bygone days. Arguably, some of the earliest forms of big data are hard to compare to the ones we are acquainted with today. Even so, the importance of the term is dependent on the circles it is being discussed in.
While the first usage of big data can be traced back to the 17th century, the 20th century is responsible for its proliferation. Moreover, important events such as the introduction of personal computers and the birth of the World Wide Web have had a major impact on big data’s rapid growth.
Similarly, with the conceptualization of big data, other industries that were not primarily reliant on technological advancements are now turning the tables. In other words, big data’s impact on the modern world is immense. But what practical advantages does it provide?
Simply put, big data is a large collection of information that is constantly growing. To emphasize, these sets of information are so complex that they cannot be processed using a traditional approach. In addition, it is important to remember that big data comprises three different data types:
Having such diverse sets of information automatically processed and at our immediate disposal may seem enticing at first. However, it is not about the quantity of data, but what we choose to do with it. That is to say, big data can prove time and cost-efficient if used accordingly. Furthermore, it can help us come up with new ideas faster and practice smart decision-making.Also read: iPhone 14 Pro Max Is Apple’s New iPhone To Be Launched In September (Know The Release Date, Specification, Rumour & More)
If we think of the aforementioned data types as essential information required to create an accurate blueprint, we can see how the practicality of big data adds to the overall convenience.
While the traditional approach to creating physical models in architecture is still present, the advantages of big data are slowly paving the path to transforming certain parts of the discipline into a digital format. After all, most clients and contractors prefer real-time updates and blueprints that can be accessed at their convenience.
With that said, the architecture software has evolved alongside big data’s inevitable expansion. Meaning, new and improved modes of operation have been implemented successfully. Although some of the common software tools (for example AutoCAD and AutoCAD Architecture) on the market do not necessarily take advantage of one such feature known as Building Information Modelling (BIM), they facilitate it. CAD
To clarify, the amount of data that makes BIM detailed and adaptable also helps end-users create accurate representations of their ideas. In fact, the statistics say that 70% of US-based architects reported lower risk rates in project management with BIM, while 56% of its practitioners said that their clients were pleased with the solutions BIM offered.
On the other hand, it is important to remember that architecture is holistic. Even once the architectural plan is established, the work does not stop there. Some of the issues are likely going to surface at a later stage. To that end, having the necessary tools to effectively communicate and address these matters in real-time is one of the many benefits of big data in architecture software, as it allows room for discussion and project management on the fly — regardless of the person’s physical location.
Ultimately, it is safe to say that architecture has been positively affected by big data’s large-scale implementation. As a matter of fact, the impact of some of the big data’s big Vs is reflected in architecture software as well.
The larger the database, the wider the application. For example, fast data transfer rates allow the architects to speed up their creative process by selecting pre-built objects within certain programs. Additionally, they can actively modify their creations and observe the results in real-time.
Depending on the project, architects can choose from a variety of software tools or alternate between them to achieve the best possible result. Since visualization is important, most software tools work with both 2D and 3D models.
Accuracy plays a vital role in architecture, as it can make or break the design altogether. With architecture software offering cloud storage, collaboration and real-time input between different departments are possible.Also read: The Top 10 In-Demand Tech Skills you need to have in 2021
Big data and architecture software have come a long way. While not all software corporations catering to architecture were quick to adapt to the changes brought by the sudden emergence of data digitalization, they are slowly getting there.
All things considered, architecture software is still in its transformative phase. There is no way of knowing whether the manual approach to architecture will someday be fully digitalized. However, what we can say is that every step forward in the field of big data is a step forward to improving the quality of the existing software.
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