An Introduction to Big Data Architectures

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When you’re dealing with massive amounts of data (hundreds of terabytes or petabytes), then the traditional ways of dealing with data start to break down.

You’ll need to use a distributed system, and you’ll have to orchestrate the different components to suit your workload.

Typically, big data solutions involve one or more of the following types of workloads.

  • Batch processing of data in storage
  • Real-time processing of data from a stream
  • Interactive exploration of data
  • Predictive analytics and machine learning
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