Characteristics of Big Data

Characteristics of Big Data |Types and Examples of Major Networks (LAN and WAN) | Managing Information Systems and Technology | Week 3 DQ1 | Westcliff University 


  • Explain Big Data and its characteristics.
  • Analyze the difficulties involved in managing Big Data.
  • Compare and contrast the two major types of networks (LANs) and (WANs).

Big Data, Characteristics of Big Data and the Difficulties involved in managing it

Big data is defined as the combination of a collection of various sets of data by the organizations which can be in the structured form, semi-structured form, and unstructured data form. These data collected are so large, complex and fast mined for extracting valuable information that can be further used for various purposes. Because of the nature of these big data are complex, the data management tools that are used traditionally cannot be used as they are unable to store and process these types of data.

What are the four characteristics of big data?

Some of the characteristics of Big data include

  • volume,
  • variety,
  • velocity, and
  • variability.

One of the characteristics of Big data is a variety which indicates that the data are collected from heterogeneous sources (Lous, 2016). The velocity of Big data indicates the speed at which the data is collected and processed. At times data can reflect inconsistency which is reflected by the variability of data.

Big data examples in real life

Various Stock Exchanges generate huge data every day related to their trade activity. If we talk about the New York Stock Exchange (NSE) then it trades data of 1- terabyte every day. Likewise, large amounts of data are injected in various social medias mainly Facebook every day.

Big Data is growing day by day in an exponential manner which is creating difficulties regarding its management. There might be complexity in handling the quality of data that comes from various sources. Technologies related to big data do evolve with time but negligence is done regarding their security features which is a very big challenge for managing big data.

LANs and WANs

LANs and WANs are the types of computer/telecommunication networks that are classified on the basis of area of coverage (geographical boundaries). LANs (Local Area Network) is the type of computer network connecting the information processing devices that covers a small geographical area like a floor, classrooms, offices, buildings, compound, etc. WANs (Wide Area Network) is the type of computer network that connects the various network within a large geographical area like large cities, the whole country, many countries, etc. The LANs have high and fastest speed compared to that of the WANs (Mumford, 2019).

To connect the network devices over the LANs network, normal telephone wiring, twisted cables, coaxial cables, or some wireless systems, etc. To connect the network devices over the WANs network wireless technology such as fiber optic cables are used. This type of network like WANs has no individual ownership compared to LANs. WANs are mostly expensive compared to LANs.

Examples of LAN network

It include Home networks, Business Networks within the same floor, or the same building.

Examples of WAN  network

It include the Internet and various networks related to Internet Service Providers (ISP).


Lous, S. (2016, July 13). What is BIG DATA? Introduction, Types, Characteristics & Example. Retrieved from Guru99:

Mumford, A. (2019, July 15). What’s the difference between a LAN and a WAN? Retrieved from Purple:

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