Big Data Architecture
Definition - What does Big Data Architecture mean?
Big data architecture is the logical and/or physical layout / structure of how big data will stored, accessed and managed within a big data or IT environment.
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 understanding the business/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 will actually be stored.
Big Data analysis: Tools that provide analysis over big data.
Big Data consumption/utilization: Users/services utilizing the data analyzed.
Experts Share the Top Cloud Computing Trends to Watch for in 2017
Join thousands of others with our weekly newsletter
The 4th Era of IT Infrastructure: Superconverged Systems:
Approaches and Benefits of Network Virtualization:
Free E-Book: Public Cloud Guide:
Free Tool: Virtual Health Monitor:
Free 30 Day Trial – Turbonomic: