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[] Udemy - Apache Spark with Java - Hands On!

  • 收录时间:2020-01-09 23:17:09
  • 文件大小:8GB
  • 下载次数:48
  • 最近下载:2020-12-28 21:00:27
  • 磁力链接:
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文件列表

  1. 4. Running Spark Jobs on the Cloud/1.1 Reddit_2011-large.json.json 4GB
  2. 2. Spark Java Dataset API Basics/4. Union Dataframes and Other Set Transformations.mp4 361MB
  3. 4. Running Spark Jobs on the Cloud/1. Using Spark to Analyze Reddit Comments.mp4 323MB
  4. 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/4. Joining Dataframes and Using Various Filter Transformations.mp4 266MB
  5. 6. Machine Learning with Spark MLlib/3. Spark Java Linear Regression Example.mp4 265MB
  6. 2. Spark Java Dataset API Basics/3. Real World Dataframes Example.mp4 244MB
  7. 5. Spark Streaming Applications/1. Streaming Network Socket Example.mp4 244MB
  8. 1. Introduction/5. First Spark Application.mp4 240MB
  9. 2. Spark Java Dataset API Basics/1. Ingesting CSV and JSON Files.mp4 234MB
  10. 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/2. Using Datasets with User Defined POJOs.mp4 214MB
  11. 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/6. More on Transformations, Actions and the DAG.mp4 198MB
  12. 4. Running Spark Jobs on the Cloud/2. Running the Reddit Spark Application on an EMR Cluster.mp4 195MB
  13. 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/3. Using Datasets with Unstructured Textual Data.mp4 193MB
  14. 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/1. Map and Reduce Transformation Functions.mp4 186MB
  15. 6. Machine Learning with Spark MLlib/5. Spark Java Logistic Regression (Classification Algorithm).mp4 185MB
  16. 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/5. Aggregation Transformations + Join Assignment.mp4 167MB
  17. 4. Running Spark Jobs on the Cloud/1.2 Reddit_2007-small.json.json 145MB
  18. 5. Spark Streaming Applications/3. Using Kafka with Spark Streaming.mp4 134MB
  19. 6. Machine Learning with Spark MLlib/7. Spark Java K-Means Clustering Example.mp4 130MB
  20. 2. Spark Java Dataset API Basics/5. Converting Between Datasets and Dataframes.mp4 125MB
  21. 1. Introduction/3. Creating a Spark Maven Project.mp4 116MB
  22. 5. Spark Streaming Applications/2. Stock Market Files Streaming Example.mp4 80MB
  23. 1. Introduction/4. Import Source Code into Eclipse.mp4 53MB
  24. 1. Introduction/6. Spark Standalone Cluster Architecture.mp4 42MB
  25. 1. Introduction/1. Why Spark.mp4 34MB
  26. 6. Machine Learning with Spark MLlib/2. Overview of Linear Regression.mp4 33MB
  27. 6. Machine Learning with Spark MLlib/6. Overview of K-Means Clustering.mp4 32MB
  28. 1. Introduction/2. Spark High Level Components.mp4 14MB
  29. 5. Spark Streaming Applications/2.1 STOCKMARKET_csv_2.zip.zip 3MB
  30. 2. Spark Java Dataset API Basics/3. Real World Dataframes Example.mp4.jpg 89KB
  31. 5. Spark Streaming Applications/3. Using Kafka with Spark Streaming.mp4.jpg 74KB
  32. 2. Spark Java Dataset API Basics/4. Union Dataframes and Other Set Transformations.vtt 36KB
  33. 4. Running Spark Jobs on the Cloud/1. Using Spark to Analyze Reddit Comments.vtt 34KB
  34. 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/4. Joining Dataframes and Using Various Filter Transformations.vtt 29KB
  35. 2. Spark Java Dataset API Basics/1. Ingesting CSV and JSON Files.vtt 28KB
  36. 5. Spark Streaming Applications/1. Streaming Network Socket Example.vtt 28KB
  37. 6. Machine Learning with Spark MLlib/3. Spark Java Linear Regression Example.vtt 28KB
  38. 1. Introduction/5. First Spark Application.vtt 27KB
  39. 2. Spark Java Dataset API Basics/3. Real World Dataframes Example.vtt 26KB
  40. 4. Running Spark Jobs on the Cloud/2. Running the Reddit Spark Application on an EMR Cluster.vtt 26KB
  41. 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/2. Using Datasets with User Defined POJOs.vtt 23KB
  42. 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/3. Using Datasets with Unstructured Textual Data.vtt 23KB
  43. 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/6. More on Transformations, Actions and the DAG.vtt 23KB
  44. 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/1. Map and Reduce Transformation Functions.vtt 22KB
  45. 5. Spark Streaming Applications/3. Using Kafka with Spark Streaming.vtt 19KB
  46. 6. Machine Learning with Spark MLlib/5. Spark Java Logistic Regression (Classification Algorithm).vtt 18KB
  47. 2. Spark Java Dataset API Basics/5. Converting Between Datasets and Dataframes.vtt 18KB
  48. 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/5. Aggregation Transformations + Join Assignment.vtt 17KB
  49. 1. Introduction/6. Spark Standalone Cluster Architecture.vtt 16KB
  50. 6. Machine Learning with Spark MLlib/7.1 Wholesale customers data.csv.csv 15KB
  51. 1. Introduction/3. Creating a Spark Maven Project.vtt 13KB
  52. 6. Machine Learning with Spark MLlib/7. Spark Java K-Means Clustering Example.vtt 12KB
  53. 1. Introduction/1. Why Spark.vtt 11KB
  54. 6. Machine Learning with Spark MLlib/6. Overview of K-Means Clustering.vtt 10KB
  55. 5. Spark Streaming Applications/2. Stock Market Files Streaming Example.vtt 9KB
  56. 1. Introduction/4. Import Source Code into Eclipse.vtt 8KB
  57. 6. Machine Learning with Spark MLlib/2. Overview of Linear Regression.vtt 8KB
  58. 1. Introduction/2. Spark High Level Components.vtt 6KB
  59. 6. Machine Learning with Spark MLlib/4. Overview of Logistic Regression.html 4KB
  60. 4. Running Spark Jobs on the Cloud/3. Instructions for Configuring a Spark Stand-alone Cluster.html 3KB
  61. 6. Machine Learning with Spark MLlib/5.1 cryotherapy.csv.csv 2KB
  62. 6. Machine Learning with Spark MLlib/1. Machine Learning Resources.html 1KB
  63. 6. Machine Learning with Spark MLlib/8. Get Access to All of my current and future courses!.html 1KB
  64. 2. Spark Java Dataset API Basics/2. How to reduce logging in the console.html 858B
  65. 5. Spark Streaming Applications/3. Using Kafka with Spark Streaming.txt 246B
  66. 2. Spark Java Dataset API Basics/3. Real World Dataframes Example.txt 243B
  67. 6. Machine Learning with Spark MLlib/3.1 marketing_vs_sales.csv.csv 230B
  68. [DesireCourse.Net].url 51B
  69. [CourseClub.Me].url 48B