This is the story of how the amazing Hadoop ecosphere revolutionised IT. If you enjoy it then consider joining The Big Data Contrarians. Before the advent of Hadoop and its ecosphere, the IT was a desperate wasteland of failed opportunities, archaic technology and broken promises. In the dark Cambrian days of bits, mercury delay lines and ferrite core, we knew nothing about … [Read more...] about How Hadoop Has Truly Revolutionised IT
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.
Prescriptive Analytics for Beginners; How to Get Started and Benefit From It
Organizations all over the world use their experience to decide the roadmap for the future. The practice of gaining insight from past performance in order to drive business strategy and planning is known as Business Analytics (BA). The field of business analytics offers endless possibilities today and prescriptive analytics is the latest development in this field. What Exactly … [Read more...] about Prescriptive Analytics for Beginners; How to Get Started and Benefit From It
Best Gitter Channels for Data Science & Machine Learning
Calling all data science and machine learning enthusiasts out there! We have lots of cutting-edge projects for you being discussed in the Gitter channels, ranging from mapping brain activity at scale, computer vision, neural networks, data visualisation to natural language processing. Check out the list below and dont hesitate to join the conversation. PandasFlexible … [Read more...] about Best Gitter Channels for Data Science & Machine Learning
How To Analyze a Large Amount Of Hadoop ETL Data
Building a hadoop ETL system is a challenging job as it is heavily constrained by unavoidable realities. The development team working on ETL system must live with data format of current system, clear business requirements and a clear idea of available legacy system. In this article, professionals will make you learn how to analyze the bulk ETL data with efficiency. You can … [Read more...] about How To Analyze a Large Amount Of Hadoop ETL Data
Introduction to Apache Spark with Examples and Use Cases
I first heard of Spark in late 2013 when I became interested in Scala, the language in which Spark is written. Some time later, I did a fun data science project trying to predict survival on the Titanic. This turned out to be a great way to get further introduced to Spark concepts and programming. I highly recommend it for any aspiring Spark developers looking for a place to … [Read more...] about Introduction to Apache Spark with Examples and Use Cases
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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.
