[FreeCoursesOnline.Me] [Packt] Data Stream Development with Apache Spark, Kafka, and Spring Boot [FCO]

File Information:
  1. Magnet Link:Magnet LinkMagnet Link
  2. File Size:2.70 GB
  3. Creat Time:2024-10-14
  4. Active Degree:28
  5. Last Active:2024-11-24
  6. File Tags:FreeCoursesOnline  Me  Packt  Data  Stream  Development  with  Apache  Spark  Kafka  and  Spring  Boot  FCO  
  7. Statement:This site does not provide download links, only text displays, and does not contain any infringement.
File List:

    [FreeCoursesOnline.Me] [Packt] Data Stream Development with Apache Spark, Kafka, and Spring Boot [FCO]

  1. 18. Spark Streaming.mp4 214.96 MB
  2. 23. Spark ML and Structured Streaming.mp4 189.50 MB
  3. 20. Spark Structured Streaming.mp4 187.05 MB
  4. 25. Fault Tolerance (HML).mp4 187.00 MB
  5. 22. MLlib (Spark ML).mp4 178.81 MB
  6. 19. DataFrames, Datasets and Spark SQL.mp4 144.85 MB
  7. 17. Brief Overview of Spark RDDs.mp4 139.98 MB
  8. 14. Streaming Algorithms For Data Analysis.mp4 138.84 MB
  9. 21. Machine Learning in 7 Steps.mp4 137.65 MB
  10. 11. Exploring Spring Reactive.mp4 120.85 MB
  11. 7. Introducing Our Message Queuing Tier – Apache Kafka.mp4 115.03 MB
  12. 4. Running the Collection Tier (Part I – Collecting Data).mp4 104.23 MB
  13. 13. Diving into the Analysis Tier.mp4 98.65 MB
  14. 2. Discovering the Data Streaming Pipeline Blueprint Architecture.mp4 94.84 MB
  15. 27. Securing Communication between Tiers.mp4 91.96 MB
  16. 9. Dissecting the Data Access Tier.mp4 80.41 MB
  17. 8. Running The Collection Tier (Part II – Sending Data).mp4 77.64 MB
  18. 15. Introducing Our Analysis Tier – Apache Spark.mp4 77.61 MB
  19. 16. Plug-in Spark Analysis Tier to Our Pipeline.mp4 66.27 MB
  20. 12. Exposing the Data Access Tier in Browser.mp4 60.95 MB
  21. 10. Introducing Our Data Access Tier – MongoDB.mp4 49.95 MB
  22. 24. Spark GraphX.mp4 42.69 MB
  23. 1. The Course Overview.mp4 42.01 MB
  24. 5. Collecting Data Via the Stream Pattern & Spring WebSocketClient API.mp4 40.15 MB
  25. 6. Explaining the Message Queuing Tier Role.mp4 28.12 MB
  26. 3. Analyzing Meetup RSVPs in Real-Time.mp4 27.70 MB
  27. 26. Kafka Connect.mp4 25.81 MB
  28. 20. Spark Structured Streaming.vtt 30 KB
  29. 25. Fault Tolerance (HML).vtt 27 KB
  30. 18. Spark Streaming.vtt 26 KB
  31. 14. Streaming Algorithms For Data Analysis.vtt 26 KB
  32. 7. Introducing Our Message Queuing Tier – Apache Kafka.vtt 25 KB
  33. 22. MLlib (Spark ML).vtt 23 KB
  34. 11. Exploring Spring Reactive.vtt 23 KB
  35. 23. Spark ML and Structured Streaming.vtt 22 KB
  36. 17. Brief Overview of Spark RDDs.vtt 22 KB
  37. 4. Running the Collection Tier (Part I – Collecting Data).vtt 22 KB
  38. 19. DataFrames, Datasets and Spark SQL.vtt 20 KB
  39. 21. Machine Learning in 7 Steps.vtt 19 KB
  40. 13. Diving into the Analysis Tier.vtt 18 KB
  41. 9. Dissecting the Data Access Tier.vtt 18 KB
  42. 2. Discovering the Data Streaming Pipeline Blueprint Architecture.vtt 17 KB
  43. 15. Introducing Our Analysis Tier – Apache Spark.vtt 16 KB
  44. 8. Running The Collection Tier (Part II – Sending Data).vtt 14 KB
  45. 10. Introducing Our Data Access Tier – MongoDB.vtt 10 KB
  46. 27. Securing Communication between Tiers.vtt 9 KB
  47. 12. Exposing the Data Access Tier in Browser.vtt 9 KB
  48. 16. Plug-in Spark Analysis Tier to Our Pipeline.vtt 9 KB
  49. 5. Collecting Data Via the Stream Pattern & Spring WebSocketClient API.vtt 7 KB
  50. 24. Spark GraphX.vtt 6 KB