Modern Analytics Stack

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Reference:

  1. Modern Analytics Stack

Data Value Chain

data process:

  1. Specifcation : defining what to track
  2. Instrumentation: registering events in your code
  3. Collection: ingesting & processing events
  4. Integration: adding data from various sources
  5. Data Warehousing: storing, processing and serving data
  6. Transformation: preparing data for end users.
  7. Quality Assurance: bad data = bad decisions
  8. Data discovery: finding the right data asset for the problem.
  9. Analysis: creating the narrative
  10. Observability: monitoring data assets, pipelines & infrastructure