← Big Data & Hadoop learning pathBig Data & Hadoop · Module 1 of 10
What is Big Data?
Big Data is data too large or fast for traditional tools.
📖 Key ideas
- Big Data is described by the 5 Vs: Volume, Velocity, Variety, Veracity, Value.
- Sources: social media, sensors, logs, transactions.
- Traditional single databases struggle at this scale.
- Distributed systems split work across many machines.
- Hadoop was the first popular open-source Big Data platform.
💡 Real-life example: Big Data is a flood: one bucket (server) cannot hold it, so you need many buckets working together.
VolumeHuge amount of data
VelocitySpeed of data arrival
VarietyDifferent data types
Distributed systemMany machines working together