Many developers say that they use feature flags or feature toggles, but this year we have realised that there is some confusion around the term that still persists. Therefore, we decided to write an article about Feature toggles and feature flags, taking into account it's increased popularity. As software teams seek higher agility, the tools and techniques for software … [Read more...] about Benefits of Feature Toggles or Feature Flags
Technical
Learn all about technical data and programming and why it's crucial for businesses. Get knowledge on how to collect and use this information to improve your products and services.
How to Simplify Software Test Runs with Data-Driven Automation
In the software development lifecycle, software testings is a major step and play a key role in addressing bugs. This is the stage that defines the success of software being developed and if it serves the purpose for which it is being executed. While there are several software testing tools available in the market, not all can afford those. Therefore at times, software … [Read more...] about How to Simplify Software Test Runs with Data-Driven Automation
Legacy Code: Definition, Recommendations & Books
In Global Software Architecture Summit which was organized by Apiumhub in Barcelona, we talked about Legacy Code and there were many opinions about it. I decided to do a small research to continue investigating, I read books about this topic and talked with our software development team to see what it is exactly and what are the most common and right approaches of working with … [Read more...] about Legacy Code: Definition, Recommendations & Books
Insurance Analytics – Developing the Industry
Usage of Insurance Analytics is rapidly increasing. The reasons for this transformation lies in the backdrop events. In this blog, we will discuss how insurance analytics is shaping the new space. The insurance industry is primely characterized by two factors. First, it has, for long remained very static. Second, positive perceptions of trust, honesty, and integrity have long … [Read more...] about Insurance Analytics – Developing the Industry
What Does Technology Tell Us About Climate Change?
Climate change has been a building force for decades now, and without substantial and immediate help, it will continue to damage the environment and public health. With the rapid progression of technology, solutions are consistently emerging every day. Taking action is more necessary than ever, from reducing carbon emissions to cleaning the oceans. Carbon Capture and … [Read more...] about What Does Technology Tell Us About Climate Change?
What is technical data?
Technical data can be something as simple as a list of ingredients for a recipe or a more complex set of instructions for assembling a piece of furniture. Technical data can also be mathematical formulas or set points for calibration. No matter what form it takes, technical data is always designed to provide information that will help people to understand and use a particular product or service.
In some cases, technical data may be subject to special regulations, such as those governing the handling of confidential personal information. However, in general, technical data is considered to be publicly available information. Want to learn more about technical data? Datafloq has courses available. Contact us to get started.
What is the purpose of technical data?
Technical data is often used to create engineering drawings or specifications, which are then used to manufacture the product. Technical data can also be used to troubleshoot problems with a product or system.
For example, if a component is not working properly, technicians may refer to the technical data to determine the root cause of the problem. Technical data is an essential part of the product development process and can be very useful for businesses and consumers.
What are examples of technical data?
Technical data refers to the specifications of a product or system, including its performance, dimensions, weight, etc. It is often used in the context of engineering or manufacturing. For example, engineers will consider the vehicle’s weight, aerodynamics, and engine size when designing a new car.
Technical data can also be used to compare different products or systems. For example, if you are trying to decide between two different types of printers, you might look at their printing speed, paper capacity, and resolution.
What is technical data analysis?
Technical data analysis aims to help make better decisions by understanding the data better. Technical data analysis can be used for different purposes, such as predicting future events, identifying trends, or spotting outliers. Many different statistical methods can be used for technical data analysis, and the choice of method will depend on the type of data and the question you are trying to answer.
What is a high-tech startup?
A high-tech startup is a company that uses technology to create new products or services. These startups are usually founded by entrepreneurs with innovative ideas for a new business. Many high-tech startups are based around developing new software or hardware, but some may also focus on creating new medical devices or developing new clean energy technologies.
Whatever their focus, all high-tech startups share a common goal: to bring their innovative ideas to market and create value for their customers.
What is a high-tech business?
A high-tech business is an organization that develops or uses advanced technological processes and products in its operations. Many high-tech businesses are involved in research, development, engineering, and manufacturing. They often work with cutting-edge technologies, such as artificial intelligence, biotechnology, and nanotechnology.
These businesses typically require a highly skilled workforce and substantial investment in research and development. Due to the risky nature of developing new technologies, many high-tech businesses are venture-backed startups. However, some large companies, such as Google and Apple, are also considered high-tech businesses.