Flashcards · 7517 · Topic 11

Big Data flashcards

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What is Big Data?: Data that will not fit on a single server and is too large or complex for a conventional relational database, described by volume, velocity and variety.
What do volume, velocity and variety mean for Big Data?: Volume: too much data for one server. Velocity: data arrives, and must be processed, very quickly (often streamed). Variety: many types of data, often unstructured (text, images, video).
Why is Big Data processed across many machines?: One machine cannot store or process it fast enough, so the work is split across a cluster of servers working in parallel.
Why is functional programming suited to distributed processing of Big Data?: Functions have no side effects and data is immutable, so parts of the work can run in parallel on different machines without interfering with each other.
What is the fact-based model for representing data?: Each fact holds one piece of information and is immutable and timestamped; facts are never overwritten, so the history is kept.
What is a graph schema?: A way of showing the structure of a dataset as a graph: nodes for entities, edges for the relationships between them, and properties stored on the nodes.