The two central concerns for any network administrator who is tasked with the responsibility to make sure databases are working, accessible and providing information in a timely manner are "how much" and "how fast." Some might argue one is a subset of the other, but that viewpoint doesn't take software into account. Networks are undoubtedly reliant on their hardware, but like a … [Read more...] about Big Data’s Effect on Minimum Network Requirements
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 Big Data Has Encouraged a New Memory Technology
The emergence of big data has generated a need for more advanced tech, at least when it comes to memory and data storage. Micron a renowned chipmaker has answered the call by announcing their new persistent memory technology. Its an 8GB DDR4 NVDIMM that improves a great deal of performance stats in the way of big data storage, including bandwidth, latency, memory capacity and … [Read more...] about How Big Data Has Encouraged a New Memory Technology
Debunking the Myth that None of Statistics Works for Big Data
'Over the last half-century, statistical analysis has been adopted by every single scientific discipline, from archaeology to history to physics, as the empirical tool of choice to advance its understanding of the world. There is no going back. In this context, those who deny statistical analysis as an indispensable means to uncover and investigate the nature of reality are … [Read more...] about Debunking the Myth that None of Statistics Works for Big Data
3 Statistics Denial Myths on the Volume of Big Data
"Raw data is a viscous fluid containing information" Myth #7: Big Data Volume (Or Large N) contains complete information Myth #8: Big Data Volume (Or Large N) speaks for itself Myth #9: Big Data Volume (Or Large N) replaces sampling and other statisticsso much information The first misunderstanding about Big Data is that there is a data rush. To be more acccurate, we are in … [Read more...] about 3 Statistics Denial Myths on the Volume of Big Data
Running Apache Mesos on Cloudera Hadoop
Big Industries, Cloudera systems integration and reseller partner for Belgium and Luxembourg, has developed an integration of Apache Mesos and CDH that can be deployed and managed through Cloudera Manager. In this post, Big Industries Rob Gibbon explains the benefits of deploying Mesos on your cluster and walks you through the process of setting it up. [Editor's Note: Mesos … [Read more...] about Running Apache Mesos on Cloudera Hadoop
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.