In a MySQL 5.7 master-slave setup that uses the default semisynchronous replication setting for rpl_semi_sync_master_wait_point, a crash of the master and failover to the slave is considered to be lossless. However, when the crashed master comes back, you may find that it has transactions that are not present in the current master (which was previously a slave). This behavior … [Read more...] about Re-Slaving a Crashed MySQL Master Server in Semisynchronous Replication Setup
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.
Go Language – Benefits & Limitations
Google's Go language doesn't need an introduction. This open-source cross-platform language, designed at Google, is getting very popular. Is it just because Google is associated with it? Or, does it offer something distinctive to the developers? To answer this question, it is crucial to know the benefits and limitations of Golang. Let's go! Benefits of Golang Golang has … [Read more...] about Go Language – Benefits & Limitations
Top AI Trends Every Data Scientists and Engineers Must Not Miss in 2020
As we've trodden the path of 2019 with much galore in AI and the big data realm, we look back on a year whose start already saw the AI revolution. But what does 2020 have in store for us? You'll be surprised to know that 2020 will be a crucial year for AI adoption. The artificial intelligence market continues to rise at breakneck speed. As predicted by IDC, the global spending … [Read more...] about Top AI Trends Every Data Scientists and Engineers Must Not Miss in 2020
What You Need to Know Before You Implement ETL in Your Company
Data is the new oil -- pretty sure you have heard that like a million times by now. But it's true -- the information is, indeed, among the most precious commodities in the world. This truth, in turn, has put the focus on technologies, tools, and resources that enable entities across the globe to make the most efficient use of what can practically be described as gold mines of … [Read more...] about What You Need to Know Before You Implement ETL in Your Company
How to Teach your Anomaly Detection System to Correlate Abnormal Behavior
Abnormal data trends rarely occur on their own. Influencing or related metrics are usually involved. For example, let's say that a remote data center goes offline and doesn't come back up. The anomaly in this case isn't just a power failure, it's a power failure plus a failure in a backup generator. Some systems might show you one of these anomalies, leaving you to search for … [Read more...] about How to Teach your Anomaly Detection System to Correlate Abnormal Behavior
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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.
