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
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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:
- Set a big data strategy.
- Identify the source of big data.
- Access, manage and save data.
- Data analysis.
- Make decisions based on data.
Learn more
Big Data theory brainly.com/question/3521557
fields in Big Data brainly.com/question/3521557
Details
Class: high school
Subjects: Chemistry
Keywords: big data, analysis, data structure
