The problem with disruptive network technologies is that they are sort of...well...disruptive. The issue occurs when you're trying to institute a disruptive network technology and it forces your system to go offline - something many corporate IT networks simply can't afford to let happen. The reason many companies opt for tried and tested technology over brand new, disruptive … [Read more...] about How to Move Disruptive Network Technologies Smoothly
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.
Managing High Availability in PostgreSQL Part II
Are you deploying PostgreSQL in the cloud and want to understand your options for achieving high availability? In our previous blog post, Managing High Availability in PostgreSQL “ Part I, we discussed the capabilities and functioning of PostgreSQL Automatic Failover (PAF) by ClusterLabs. In Part II, we're introducing you to an alternative open source tool, Replication Manager … [Read more...] about Managing High Availability in PostgreSQL Part II
2019 Database Trends SQL vs. NoSQL, Top Databases, Single vs. Multiple Database Use
Wondering which databases are trending in 2019? We asked hundreds of developers, engineers, software architects, dev teams, and IT leaders at DeveloperWeek to discover the current NoSQL vs. SQL usage, most popular databases, important metrics to track, and their most time-consuming database management tasks. Get the latest insights on MySQL, MongoDB, PostgreSQL, Redis, and many … [Read more...] about 2019 Database Trends SQL vs. NoSQL, Top Databases, Single vs. Multiple Database Use
5 Big Data Questions For Software Developers
Software developers are finding themselves beset by news headlines insisting that big data and the rise of the information age are coming to upend their industry. Many hardworking software engineers are deeply unfamiliar with big data, however, or at the very least uncertain of the many ways it stands to impact their line of work. Luckily, arriving at a comprehensive … [Read more...] about 5 Big Data Questions For Software Developers
Why You Should Pay Attention to EVPN in Modern Data Centers
From the inception of data centers, there has been a need to standardize data transmission. At the current level of data transmission, we use something termed Ethernet VPN, or EVPN for short. EVPN, according to Juniper, is a network technology that utilizes a Layer 2 bridge in order to connect disparate networks together. When data centers were first developed, the topology was … [Read more...] about Why You Should Pay Attention to EVPN in Modern Data Centers
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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.
