~/talk

How Big Data is Powering the Internet of Things (IoT) Revolution

Talkat REFACTR.TECH 2019 · 2019-06-05..06-07· [iot, data-engineering]
links:none on file
slides:none on file

Claims that Big Data pipelines make IoT analytics practical by combining batch and real-time layers; demo builds a Python faker producer, sends simulated sensor events through Amazon Kinesis + S3, processes them with Spark Structured Streaming on Databricks, and visualizes results. Uses 100 simulated warehouse devices, two-hour tumbling windows, finds 28 devices in “red” CO2 range and some countries with max temps above 90°F (Philippines spikes), and surfaces batteries with level 2/1 (three devices at level 2). Streaming runs live, shows input vs processing lag and is used to trigger operational alerts.

AI-written summary · about

  1. 0:00Intro
  2. 0:18Aidas background
  3. 1:18Aidas work
  4. 2:11Overview
  5. 2:43IoT Devices
  6. 3:44What is IoT
  7. 4:32Benefits of IoT
  8. 5:59Challenges of IoT
  9. 8:08White Cloud
  10. 10:55IoT Helix
  11. 12:01Indoor Air Quality Monitoring
  12. 12:17Indoor Air Quality Monitoring Example
  13. 13:30Analysis
  14. 14:33Architecture
  15. 15:43Sending Data
  16. 17:02ingestion and storage
  17. 17:17data generation
  18. 17:56data analytics
  19. 18:09data bricks
  20. 18:34data description
  21. 19:18batch processing
  22. 20:02big files
  23. 20:39read data
  24. 21:25sample data
  25. 22:11data continuity
  26. 23:13data analysis
  27. 26:56streaming processing
  28. 27:06streaming
  29. 27:58streaming vs batch
  30. 28:45input vs processing rate
  31. 29:51how a stream works
  32. 30:25low battery level
  33. 30:36even vs received time
  34. 31:34maximum day
  35. 31:45latest event
  36. 32:13reading to memory
  37. 32:48creating queries
  38. 33:22battery levels
  39. 35:41group data example
  40. 36:11query
  41. 37:33high levels
  42. 38:10active queries
  43. 38:37historical batch
  44. 39:31questions
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