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

Torrent Hash :
8761965864f37e2b118f2f91acb656ab2ddfe51f
Content Size :
2.64 GB
Date :
2019-12-09
Short Magnet :
Short Magnet
https://0mag.top/!V3eNoo QR code
Files ( 61 )size
18. Spark Streaming.mp4209.92 MB
23. Spark ML and Structured Streaming.mp4185.05 MB
20. Spark Structured Streaming.mp4182.66 MB
25. Fault Tolerance (HML).mp4182.62 MB
22. MLlib (Spark ML).mp4174.62 MB
19. DataFrames, Datasets and Spark SQL.mp4141.46 MB
17. Brief Overview of Spark RDDs.mp4136.7 MB
14. Streaming Algorithms For Data Analysis.mp4135.58 MB
21. Machine Learning in 7 Steps.mp4134.42 MB
11. Exploring Spring Reactive.mp4118.02 MB
7. Introducing Our Message Queuing Tier – Apache Kafka.mp4112.33 MB
4. Running the Collection Tier (Part I – Collecting Data).mp4101.79 MB
13. Diving into the Analysis Tier.mp496.34 MB
2. Discovering the Data Streaming Pipeline Blueprint Architecture.mp492.62 MB
27. Securing Communication between Tiers.mp489.81 MB
9. Dissecting the Data Access Tier.mp478.53 MB
8. Running The Collection Tier (Part II – Sending Data).mp475.82 MB
15. Introducing Our Analysis Tier – Apache Spark.mp475.79 MB
16. Plug-in Spark Analysis Tier to Our Pipeline.mp464.72 MB
12. Exposing the Data Access Tier in Browser.mp459.52 MB
10. Introducing Our Data Access Tier – MongoDB.mp448.78 MB
24. Spark GraphX.mp441.69 MB
1. The Course Overview.mp441.03 MB
5. Collecting Data Via the Stream Pattern & Spring WebSocketClient API.mp439.21 MB
6. Explaining the Message Queuing Tier Role.mp427.46 MB
3. Analyzing Meetup RSVPs in Real-Time.mp427.05 MB
26. Kafka Connect.mp425.21 MB
20. Spark Structured Streaming.vtt29.93 KB
25. Fault Tolerance (HML).vtt26.91 KB
18. Spark Streaming.vtt25.55 KB
14. Streaming Algorithms For Data Analysis.vtt25.48 KB
7. Introducing Our Message Queuing Tier – Apache Kafka.vtt24.42 KB
22. MLlib (Spark ML).vtt23.35 KB
11. Exploring Spring Reactive.vtt23.14 KB
23. Spark ML and Structured Streaming.vtt22.33 KB
17. Brief Overview of Spark RDDs.vtt22.06 KB
4. Running the Collection Tier (Part I – Collecting Data).vtt21.66 KB
19. DataFrames, Datasets and Spark SQL.vtt20.03 KB
21. Machine Learning in 7 Steps.vtt19.47 KB
13. Diving into the Analysis Tier.vtt18.19 KB
9. Dissecting the Data Access Tier.vtt17.79 KB
2. Discovering the Data Streaming Pipeline Blueprint Architecture.vtt17.25 KB
15. Introducing Our Analysis Tier – Apache Spark.vtt16.56 KB
8. Running The Collection Tier (Part II – Sending Data).vtt14.41 KB
10. Introducing Our Data Access Tier – MongoDB.vtt10.25 KB
27. Securing Communication between Tiers.vtt9.74 KB
12. Exposing the Data Access Tier in Browser.vtt9.65 KB
16. Plug-in Spark Analysis Tier to Our Pipeline.vtt8.85 KB
5. Collecting Data Via the Stream Pattern & Spring WebSocketClient API.vtt6.96 KB
24. Spark GraphX.vtt6.73 KB

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