Big Data Technology: Parameters, Application Areas and Prospects
Posted: Sat Jan 18, 2025 6:57 am
What are we talking about? Big Data technology is “modern oil,” as many experts believe. These are large data sets that are of significant value to businesses, corporations, and even countries. They can be used not only for good, but also for selfish purposes.
How does it work? The principle of the technology is to collect, store, process and analyze big data. In business, all this is done before launching a new product, to study the target audience or to attract it. Big Data is handled by people specially trained for this.
The article explains:
What is Big Data
Big Data Differences
Big Data Parameters
Big Data Sources
Stages of working with Big Data technology
Areas of application of Big Data technology
Benefits of Big Data advertising data package Technology for Business
Who works with Big Data technology
Working methods of a Big Data analyst
Advantages and Disadvantages of Big Data Technology
Frequently Asked Questions about Big Data Technology
5 Scenarios for Using Neural Networks to Increase Website Conversion by 40%
Download for free
What is Big Data
The term Big Data refers to a colossal amount of information, often completely unstructured and stored on some digital medium. The size of the data array is so large that it cannot be processed using traditional methods. This concept is also interpreted as a complex technology for searching, analyzing, preparing and interpreting the results of information in huge volumes.
The author of the phrase "big data" is considered to be Clifford Lynch, who first used it in 2008 in a special issue of the journal Nature. He commented on the rapid growth of information flows. Big Data technology allows processing an array of data, the volume of which exceeds 150 GB in 24 hours.
What is Big Data
Source: shutterstock.com
Analysts from many statistical companies calculated that in 2005, there were about 4-5 exabytes of information (4-5 billion gigabytes) available to specialists in virtual space on the planet. Just five years later, Big Data processing technologies had developed so much that it became possible to organize up to 0.19 zettabytes (1 Zb = 1024 EB).
In 2012, this figure was already 1.8 Zb, and in 2015 – 7 Zb. Experts give reasonable forecasts that in 2024, big data systems will operate 147 zettabytes of information.
Until 2011, Big Data digital technology was considered a theory that was actively studied and classified, with virtually no practical value. But the rapid exponential growth of information volumes has posed a problem for scientists in terms of its high-quality processing. This trend is clearly visible in Google Trends statistics.
The issue has been closely addressed by such heavyweights of the digital industry as Microsoft, IBM, Oracle, EMC, etc. IT specialists in various universities and research laboratories have begun to try to find out what Big Data technology is. Since 2014, attempts have begun to implement the developments in a practical manner.
Read also!
"Sample proposal for cooperation: just follow the instructions!"
Read more
Big Data Differences
Big Data, despite its enormous size, is not an ordinary database. It has its own fundamental differences. Some of them are summarized in the table below.
Regular database Big Data
An array consisting of information about thousands of employees of a corporation. Such information has a clear structure. The main parameters are easily algorithmized and can be presented using spreadsheets. (For example, MS Excel) Employee activity log. For example, a complete list of information obtained by employees of an average call center (500 people) in the course of their activities
Information about the full name, gender, and age of all 2.5 billion users of the social network VKontakte is just a huge database Follow links, reposts, likes, clicks and other actions of VKontakte users, including in the mobile version
An archive containing recordings from video surveillance cameras A data package including information on traffic violations with registration of state license plates; information obtained using a facial recognition system on all passengers traveling on subway trains, and comparison with databases of wanted persons
How does it work? The principle of the technology is to collect, store, process and analyze big data. In business, all this is done before launching a new product, to study the target audience or to attract it. Big Data is handled by people specially trained for this.
The article explains:
What is Big Data
Big Data Differences
Big Data Parameters
Big Data Sources
Stages of working with Big Data technology
Areas of application of Big Data technology
Benefits of Big Data advertising data package Technology for Business
Who works with Big Data technology
Working methods of a Big Data analyst
Advantages and Disadvantages of Big Data Technology
Frequently Asked Questions about Big Data Technology
5 Scenarios for Using Neural Networks to Increase Website Conversion by 40%
Download for free
What is Big Data
The term Big Data refers to a colossal amount of information, often completely unstructured and stored on some digital medium. The size of the data array is so large that it cannot be processed using traditional methods. This concept is also interpreted as a complex technology for searching, analyzing, preparing and interpreting the results of information in huge volumes.
The author of the phrase "big data" is considered to be Clifford Lynch, who first used it in 2008 in a special issue of the journal Nature. He commented on the rapid growth of information flows. Big Data technology allows processing an array of data, the volume of which exceeds 150 GB in 24 hours.
What is Big Data
Source: shutterstock.com
Analysts from many statistical companies calculated that in 2005, there were about 4-5 exabytes of information (4-5 billion gigabytes) available to specialists in virtual space on the planet. Just five years later, Big Data processing technologies had developed so much that it became possible to organize up to 0.19 zettabytes (1 Zb = 1024 EB).
In 2012, this figure was already 1.8 Zb, and in 2015 – 7 Zb. Experts give reasonable forecasts that in 2024, big data systems will operate 147 zettabytes of information.
Until 2011, Big Data digital technology was considered a theory that was actively studied and classified, with virtually no practical value. But the rapid exponential growth of information volumes has posed a problem for scientists in terms of its high-quality processing. This trend is clearly visible in Google Trends statistics.
The issue has been closely addressed by such heavyweights of the digital industry as Microsoft, IBM, Oracle, EMC, etc. IT specialists in various universities and research laboratories have begun to try to find out what Big Data technology is. Since 2014, attempts have begun to implement the developments in a practical manner.
Read also!
"Sample proposal for cooperation: just follow the instructions!"
Read more
Big Data Differences
Big Data, despite its enormous size, is not an ordinary database. It has its own fundamental differences. Some of them are summarized in the table below.
Regular database Big Data
An array consisting of information about thousands of employees of a corporation. Such information has a clear structure. The main parameters are easily algorithmized and can be presented using spreadsheets. (For example, MS Excel) Employee activity log. For example, a complete list of information obtained by employees of an average call center (500 people) in the course of their activities
Information about the full name, gender, and age of all 2.5 billion users of the social network VKontakte is just a huge database Follow links, reposts, likes, clicks and other actions of VKontakte users, including in the mobile version
An archive containing recordings from video surveillance cameras A data package including information on traffic violations with registration of state license plates; information obtained using a facial recognition system on all passengers traveling on subway trains, and comparison with databases of wanted persons