What exactly is big data? Where is it? colloquial explanation .

What is Big Data? In the eyes of many people, big data may be a very vague concept, but in daily life, big data is very close to us, and we no longer enjoy the convenience, personalization and humanization brought to us by big data all the time.

To understand big data comprehensively, we should have a brief understanding of four aspects.

Definition, structural characteristics, what big data is around us, and what big data brings, these four aspects are understood.

So what exactly is "big data"?

According to the definition given by the McKinsey Global Institute, big data is a collection of data that is so large that it is far beyond the capabilities of traditional database software tools in terms of acquisition, storage, management, and analysis. To put it simply, big data is a lot of data.

The unit of big data is generally measured in petabytes. So how big is PB? 1GB = 1024MB, 1PB = 1024GB is enough to be called big data.

Secondly, what are the characteristics and structure of big data?

Big data is divided into four characteristics as a whole, first, a large number of them.

The unit of measurement is petabyte level, and there are many storage contents.

Second, high speed.

Second, diversity.

Third, value.

Big data not only has its own information value, but also has business value.

Big data is also structurally divided into: structured, semi-structured, and unstructured. Structured is simply a database, which is data that is logically expressed and implemented by two-dimensional tables.

Unstructured means that the data structure is irregular or incomplete, and there is no predefined data model. Much of the data generated by humans is unstructured.

So what are the things around us that are big data?

What is big data to tell you?

Big Data (BIG

data) is an abstract concept, which is a dataset with a particularly large volume and large data category, and such a dataset cannot be captured, managed, and processed by traditional database tools. To put it simply, it is difficult to obtain, store, manage, and analyze data collections with conventional database tools.

Big data refers to a collection of data that cannot be captured, managed, and processed by conventional software tools within a certain time frame, and is a massive, high-growth and diversified information asset that requires new processing to have stronger decision-making, insight and process optimization capabilities. Big data has five characteristics: volume, velocity, variety, low value density, and veracity. It doesn't have a statistical sampling method, it just observes and tracks what's going on.

The use of big data tends to favor the use of analytics, user behavior analytics, or some other advanced data analysis methods. I hope the above can help you, if you feel satisfied with the hemp fiber years of the hole annoyance to give a thumbs up, thank you for kissing

Big data technology refers to the application technology of big data, covering all kinds of big data platforms, big data index systems and other big data application technologies.

Big data refers to a collection of data that cannot be captured, managed, and processed with conventional software tools within a certain time frame. It is a massive, high-growth and diversified information asset that requires new processing models to have greater decision-making, insight and process optimization capabilities.

With the advent of the cloud era, big data has also attracted more and more attention. According to the analyst team, big data is often used to describe the large amount of unstructured and semi-structured data created by a company, which takes too much time and money when used for analysis in a relational database.

Big data analytics is often associated with cloud computing, because real-time analysis of large datasets requires a framework like Maprece.

Ten, hundreds, or even thousands, of computers assign work.

Summary. What do you mean by big data? How to explain it?

1. Big data refers to the collection of data that cannot be captured, managed and processed by conventional software tools within a certain time frame, and is a massive, high-growth rate and diversified information asset that requires new processing modes to have stronger decision-making, insight and process optimization capabilities. 2. In The Age of Big Data, written by Victor Mayer-Schönberg and Kenneth Cookye, big data refers to the use of all data for analysis and processing without such a shortcut as stochastic analysis (sampling survey). 5V Characteristics of Big Data (proposed by IBM):

Volume, Velocity, Variety, Value, Veracity

What is Big Data? How to explain it?

What do you mean by big data? How to explain it? 1. Big data refers to the collection of data that cannot be captured, managed and processed by conventional software tools within a certain time frame, and is a massive, high-growth rate and diversified information asset that requires new processing modes to have stronger decision-making, insight and process optimization capabilities.

2. In The Age of Big Data, written by Victor Mayer-Schönberg and Ken Destroys Nice Cookye, Big Data refers to the use of all data for analysis and processing without such a shortcut as random analysis (sampling survey). The 5V characteristics of big data (proposed by IBM): volume (mass), velocity (high speed), variety (variety), value (low value density), and veracity (authenticity).

The four "Vs" or characteristics of big data have four levels: First, the volume of data is huge. From the TB level, jump to the PB level; Second, there are many types of data.

The aforementioned network logs, visual arguments, **, geolocation information, and so on. Third, the data directly leads to the accuracy and authenticity of the analysis results. If the data** is complete and true, the final analysis and decisions will be more accurate.

Fourth, the processing speed is fast, the 1 second rule. This last point is fundamentally different from traditional data mining techniques. The industry summarizes it into 4 "Vs", and to some extent, big data is the cutting-edge technology of data analysis.

In short, the ability to quickly obtain valuable information from various types of data is big data technology. It's important to understand this, and it's what makes the technology have the potential to reach many businesses.

Big data refers to a collection of data that cannot be captured, managed, and processed with conventional software tools within a certain time frame. Through a large number of statistics, we can understand everyone's preferences and wants, so as to get what they want, such as precision marketing, credit analysis, consumption analysis, etc.

Big data refers to a collection of data whose content cannot be captured, managed, and processed with conventional software tools in a certain period of time. Big data technology refers to the ability to quickly obtain valuable information from a wide variety of types of data.

In the digital era, Internet operations are inseparable from big data, what is big data? How is it being used?

Big data, also known as big data, refers to the amount of data involved that is so large that it cannot be captured, managed, processed, and sorted into information that can be captured, managed, processed, and sorted into more positive business decisions through the human brain or even mainstream software tools within a reasonable time.

Ask what the internet is.

Answer: The Internet, also known as international networks, refers to the vast network of networks connected by networks, which are connected by a set of common protocols to form a single and huge international network logically.

Regarding big data, the definition given is:

A data collection that is so large that it greatly exceeds the capabilities of traditional database software tools in terms of acquisition, storage, management, and analysis, and has four characteristics: massive data scale, fast data flow, diverse data types, and low value density.

Simply understood as:

Big data"It is a dataset with a particularly large volume and a large data category, and such a dataset cannot be crawled, managed, and processed by traditional database tools.

The core role of big data is data valorization, which simply means that big data makes data produce various "values", and this process of data valorization is the main thing that big data should do.

In the digital era, Internet operations are inseparable from big data, what is big data? How is it being used?

Big data, the official definition, refers to those data sets with particularly large data volumes and complex data categories, which cannot be stored, managed, and processed by traditional databases. The main characteristics of big data are large data volume (volume), complex data categories (variety), fast data processing speed (velocity) and high data authenticity (veracity), which together are called 4V.

Big data is a collection of data that is so large that it greatly exceeds the capabilities of traditional database software tools in terms of acquisition, storage, management, and analysis, and has four characteristics: massive data scale, fast data flow, diverse data types, and low value density.

Big data should be a career position with data analysis as the core technology.

The large category belongs to the data analyst class (CDA), CDA data analyst certification, should be recognized is not bad, when I was looking for a job, I saw that the company in the recruitment requirements, clearly stated that with the CDA data analyst certification certificate is preferred. If you want to do business analysis or data operations, mining, algorithms, modeling and the like, it should help.

Big data refers to the collection of data that cannot be captured, managed, and processed by conventional software tools within a certain time frame, and is a massive, high-growth and diversified information asset that requires new processing modes to have stronger decision-making, insight and process optimization capabilities.

The relationship between big data and cloud computing is as inseparable as the heads and tails of the same coin. Big data cannot necessarily be processed by a single computer, and a distributed computing architecture must be adopted. It is characterized by the mining of massive amounts of data, but it must rely on the distributed processing, distributed database, cloud storage and virtualization technology of cloud computing.

You can understand the relationship between the two in this way, cloud computing technology is a container, big data is the water stored in this container, and big data relies on cloud computing technology for storage and computing.

Big data, an IT industry term, refers to a collection of data that cannot be captured, managed, and processed by conventional software tools within a certain time frame, and is a massive, high-growth and diversified information asset that requires new processing models to have stronger decision-making, insight and process optimization capabilities.

In The Age of Big Data [1] by Victor Mayer-Schönberg and Kenneth Cookyer, big data refers to the use of all data for analysis and processing without the use of shortcuts such as random analysis (sample surveys). The 5V characteristics of big data (proposed by IBM): volume (mass), velocity (high speed), variety (variety), value (low value density), and veracity (authenticity).

2] Chinese name big data.

The foreign name is Big Data, and the presenters of Mega Data, Victor Mayer-Schönberg and Kenneth Cookye, proposed the time.

Mid-August 2008.

Applied Disciplines. Computer, Information Science, Statistics.

Scope of application.

BI, Industrial, Cloud Computing, Internet of Things, Internet +

Scope of application.

Artificial intelligence. 5V features.

Massive, high-speed, diverse, valuable, authentic.

Big data is a large amount of data, involving all aspects of people, such as communication, transportation, shopping and so on.