Big Data Architecture

What Does Big Data Architecture Mean?

Big data architecture is the logical and/or physical layout/structure of how big data is stored, accessed and managed within a big data or IT environment.

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It logically defines how the big data solution will work, the core components (hardware, database, software, storage) used, flow of information, security and more.

Techopedia Explains Big Data Architecture

Big data architecture primarily serves as the key design reference for big data infrastructures and solutions.

It is created by big data designers/architects before physically implementing a big data solution. Creating big data architecture generally requires an understanding of the organization and its big data needs.

It also entails interconnecting and organizing existing resources to serve big data needs. Typically, big data architecture consists of four different layers:

  • Big data sources: The entire location that is producing big data

  • Messaging and storage: The facility where big data is actually stored

  • Big data analysis: Tools that provide analysis of big data

  • Big data consumption/utilization: Users/services utilizing the data analyzed

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Margaret Rouse
Technology Expert

Margaret is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages.