Businesses today are collecting huge amounts of data every single day that can be used to benefit the business and its operations. The sheer volume of data that companies now deal with and store on a daily basis means that traditional frameworks are under pressure and in some cases are no longer fit for purpose. NoSQL databases could be your solution to dealing with todays data … [Read more...] about Why Isn’t Your Business Using NoSQL Databases Yet?
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 Holographic Computing can Transform the Construction and Architecture Industries
The construction industry is a multibillion-dollar industry. Yet, many of their processes have remained unchanged. Even though many technologies have been introduced to the construction and architecture industry over the last decade, holographic computing enabled by IoT devices like Microsoft Hololens is fundamentally changing how people visualize things, collaborate, and work … [Read more...] about How Holographic Computing can Transform the Construction and Architecture Industries
What Does This Text Really Mean?
Imagine that you were tasked with indexing (categorizing and summarizing) the contents of a large collection of randomly formatted text documents to make them easily accessible throughout your company. Perhaps this use case contains legal documents as well as medical records (with various levels of sensitivity). Suppose that the size of this collection contained over 100 … [Read more...] about What Does This Text Really Mean?
How to Create an Amazon S3 Image Processing Pipeline in Python
Need to create a simple Amazon S3 image processing pipeline to batch edit images? Now that Algorithmia supports Amazon S3 integration, heres a quick way to automatically create thumbnails with custom dimensions. In this demo, well use SmartThumbnail, a microservice that uses face detection to perfectly crop every photo to the same size without awkwardly cropped heads or … [Read more...] about How to Create an Amazon S3 Image Processing Pipeline in Python
Best Python & Django Channels for Data Scientists on Gitter
The ability to analyze data with Python -  a dynamic, object-oriented language that combines combines remarkable power with very clear syntax -  is critical in data science. Python is relatively easy to learn, available everywhere, and embraced by the industry. It is also one of the most popular languages for those learning to code.The name Python is reported to come from Monty … [Read more...] about Best Python & Django Channels for Data Scientists on Gitter
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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.
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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.
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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.
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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.
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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.
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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.
