Data flows can be highly inconsistent, with periodic peaks, making data loads hard to manage. what is this feature of big data c

Question

r-ruslan [8.4K]

2 years ago

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Data flows can be highly inconsistent, with periodic peaks, making data loads hard to manage. what is this feature of big data c

alled?

Chemistry

2 answers:

andrey2020 [161] · Answer 1 · 2023-09-23T06:18:54+03:00

andrey2020 [161]2 years ago

8 0

Data flows can be highly consistent, with periodic peaks, making data loads hard to manage. This feature of big data is called variability.

kumpel [21] · Answer 2 · 2023-09-23T07:40:52+03:00

Data flow in Big Data is called Velocity or process speed.

Management of data that is structured in Big Data is called a Variety or types of data that can be accommodated.

<h2>Further explanation </h2>

Big data is a term that describes a large volume of data, both structured and unstructured that floods everyday business.

Big Data has three main characteristics:

Volume. The volume here is related to the size of the data storage media which is very large or may be unlimited. Big data has a very large amount of data so that the data processing requires large storage and more specific analysis is needed.
Velocity. Velocity here is a very fast speed at which data is received and (possibly) directly used. Usually, the highest speed of data flow is directly to memory compared to that written to disk. Some smart devices that use the internet operate in real-time or near real-time and will require real-time evaluation and action.
Variety. Variety in question here are the various types of data available. Traditional data types are usually more structured. With the development of big data, there is also unstructured data. Unstructured or semi-structured data such as text, audio, and video take time to process so you can know the meaning of these data.

Some things that are considered as big data are the following:

Internet use
Smartphone usage
Social media
Digitalization of media
Smart device

Here are some things that can be done with Big Data:

Customer relationship management (CRM)
Help your business operations become more efficient
Improve user mobile experience
Encourage innovation

There are five main steps to taking over this large "data structure" that includes traditional and structured data along with unstructured and structured data: