The Big Data Scientist is said to be the sexiest job of the 21st century and it is likely to be very well paid. Salaries are in the high $ 100k per year and there is a strong demand for the best Data Scientists. A lot of the 20th century jobs on the other hand will disappear thanks to robotics, artificial intelligence and machine learning. How should you ensure that you can … [Read more...] about How To Become a Data Scientist And Get Hired
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.
Joining Multiple Sources 101: Inner and Outer Joins
Mashing up multiple data sources to generate a single source of truth is an integral part of data analysis. It allows you to compare and cross-reference records stored in different formats and locations, and to perform queries and calculations. This article will run you through some basic concepts in data analysis that you should become familiar with when joining data stored in … [Read more...] about Joining Multiple Sources 101: Inner and Outer Joins
How The Next Generation Of Databases Could Solve Your Problems
The past decades organisations have been working with relational databases to store their structured data. In the big data era however, these types of databases are not sufficient anymore. Although they made a huge difference in the database world and unlocked data for many applications, relational databases miss some important characteristics for the big data era. However, the … [Read more...] about How The Next Generation Of Databases Could Solve Your Problems
Recommendation Engines Are Crucial For Positive User Experiences
Recommender systems are one of the most common applications of big data. The most known application is probably Amazons recommendation engine, which allows users to get a personalized webpage when they visit Amazon.com. But e-tailers are not the only companies that use recommendation engines to persuade customers to buy additional products. Recommender systems can also be used … [Read more...] about Recommendation Engines Are Crucial For Positive User Experiences
Why Sentiment Analytics Should Be A No-Brainer For Organisations
The number of citizens that are active on a social network continues to grow rapidly. At the moment there are more than 1 billion Facebook users, of which around 850 million are active on a monthly basis. There are more than 100 billion connections and each day gives us 2.7 billion new likes. Twitter has 500 million users and 180 million tweets are sent … [Read more...] about Why Sentiment Analytics Should Be A No-Brainer For Organisations
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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.
