What are structures of big data?

In summary, the conversation discusses the 3 V's of big data, with a focus on variety. Variety refers to the different formats, sources, and structures of data. While sources may include various types of data, structures refer to the way the data is organized. This may include structured, semi-structured, and unstructured data. The term "data structure" has a specific meaning in computer science, but in this context, it is used to refer to the way data is organized.
  • #1
shivajikobardan
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Homework Statement
structures of big data
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I am learning about 3 V's of big data. I am learning about variety at the moment. They say variety represents variety of formats, data sources and structures. I understand format might be txt, audio, video files etc. Sources might be different sources of data. But what is structures of data?

I am really confused at this.
 
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  • #3
Baluncore said:
https://en.wikipedia.org/wiki/Data_structure
They are not the same thing. I know about data structure. They are structured, semi-structured and unstructured fyi...I got it just now.
 
  • #4
shivajikobardan said:
They are not the same thing. I know about data structure. They are structured, semi-structured and unstructured fyi...I got it just now.
Oh, I was about to post the same link that @Baluncore did before he beat me to it. The term "data structure" has a specific meaning in computer science (as explained in the Wikipedia article), so if your class is using terms very similar to it to mean other things, that's a bit confusing. Glad you figured out what they wanted, though.
 
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FAQ: What are structures of big data?

What are structures of big data?

The structures of big data refer to the ways in which large volumes of data are organized, stored, and processed in order to extract meaningful insights and information.

What are the main types of structures used in big data?

The main types of structures used in big data are structured, semi-structured, and unstructured data. Structured data is organized and easily searchable, while semi-structured data has some organization but also contains unstructured elements. Unstructured data has no predefined structure and can include text, images, videos, and audio files.

How are big data structures different from traditional data structures?

Big data structures differ from traditional data structures in terms of volume, velocity, and variety. Big data structures are designed to handle large volumes of data at high speeds, and they can also accommodate a wide variety of data types, including unstructured data.

What are some common tools and technologies used to manage big data structures?

Some common tools and technologies used to manage big data structures include Hadoop, Spark, NoSQL databases, and data warehousing solutions. These tools and technologies help to store, process, and analyze large volumes of data in a scalable and efficient manner.

How can big data structures be used to drive insights and decision-making?

Big data structures can be used to drive insights and decision-making by allowing organizations to analyze and identify patterns and trends within large datasets. This can help inform business strategies, improve operations, and drive innovation.

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