What is Big Data Architecture? And Why Do I Need It?
As with many big data and technology-related terms, it’s worth clarifying the meaning of big data architecture. Like the blueprints for a house or building, a big data architecture is a conceptual or graphical model of how big data and other information assets will be captured, stored, managed and made accessible to various user groups and applications. Typically, big data architectures outline the hardware and software components that are necessary to a full big data solution. Big data architecture documents may also describe protocols for data sharing, application integrations and information security.
If that sounds a tad dull, it is worth remembering that no one would build a house without blueprints. As such, no one should plan to effectively leverage big data without a big data architecture. And the more you’re investing in a house (or big data solutions for that matter), the more you need a big data architecture to make sure you get the ROI you desire. In other words, big data architectures help ensure data flows as planned so the right users can access it via the right tools.