Perl has undergone a massive overhaul over the last year. Perl 6 was released last December. It's virtually unrecognizable from previous versions of the 15-year-old programming language. There are a number of updates Perl programmers should be aware of. Among the most significant is the emphasis on big data. Brian Kelly, The main developer of FullAuto said these applications … [Read more...] about Why Perl 6 is Remarkably Robust at Handling Big Data Sets
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 to Offload the ETL Bottleneck with Hadoop
Wheres my Data?   There is a battle today inside IT to meet Enterprise Data Warehouse (EDW) overnight data load commitments with ETL solutions. Traditional ETL solutions have struggled to keep pace with the tsunami of data now being generated. Fortunately, there is a solution with an ecosystem of software called Hadoop.  Before I stage the problem, I want to give you a reason … [Read more...] about How to Offload the ETL Bottleneck with Hadoop
How to Integrate Sqoop in a Data Ingestion Layer with Hive, Oozie in a Big Data Application?
Sqoop is a tool which helps to migrate and transfer the data between RDBMS and Hadoop system in bulk mode. This blog post will focus on integrating Sqoop with other projects in Hadoop ecosystem and Big Data Applications. As I am working for Big Data Solution providers, I learned it and here I will show how to schedule Sqoop job with Oozie and how to load the data from Sqoop to … [Read more...] about How to Integrate Sqoop in a Data Ingestion Layer with Hive, Oozie in a Big Data Application?
Becoming a Big Data Scientist: Skills You Need to Know and How to Learn Them
To say that data scientists are in high demand would actually be sort of an understatement. With big data being utilized more and more within organizations, executives want men and women who know big data inside and out. The number of data scientist positions is on the rise and growing each year. This demand is reflected in the amount of money being paid to data scientists, … [Read more...] about Becoming a Big Data Scientist: Skills You Need to Know and How to Learn Them
Why Isn’t Your Business Using NoSQL Databases Yet?
Businesses today are collecting huge amounts of data every single day that can be used to benefit the business and its operations. The sheer volume of data that companies now deal with and store on a daily basis means that traditional frameworks are under pressure and in some cases are no longer fit for purpose. NoSQL databases could be your solution to dealing with todays data … [Read more...] about Why Isn’t Your Business Using NoSQL Databases Yet?
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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.
