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Introduction to Spark SQL and DataFrames

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Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. 01 - Apache Spark SQL and data analysis.mp4 2.5 MB
  3. 01 - Apache Spark SQL and data analysis.srt 1.4 KB
  4. 02 - What you should know.mp4 641.8 KB
  5. 02 - What you should know.srt 1.0 KB
  6. 01 - Introduction to DataFrames.mp4 3.9 MB
  7. 01 - Introduction to DataFrames.srt 4.3 KB
  8. 02 - SQL for DataFrames.mp4 3.1 MB
  9. 02 - SQL for DataFrames.srt 3.5 KB
  10. 01 - Install Spark.mp4 7.2 MB
  11. 01 - Install Spark.srt 7.0 KB
  12. 02 - Install PySpark.mp4 999.6 KB
  13. 02 - Install PySpark.srt 1.1 KB
  14. 03 - Using Jupyter notebooks with PySpark.mp4 4.7 MB
  15. 03 - Using Jupyter notebooks with PySpark.srt 5.1 KB
  16. 01 - Set up a Jupyter notebook.mp4 2.9 MB
  17. 01 - Set up a Jupyter notebook.srt 3.2 KB
  18. 02 - Load data into DataFrames CSV Files.mp4 17.1 MB
  19. 02 - Load data into DataFrames CSV Files.srt 10.8 KB
  20. 03 - Load data into DataFrames JSON Files.mp4 6.0 MB
  21. 03 - Load data into DataFrames JSON Files.srt 4.9 KB
  22. 04 - Basic DataFrame operations.mp4 7.5 MB
  23. 04 - Basic DataFrame operations.srt 5.6 KB
  24. 05 - Filter data with DataFrame API.mp4 4.9 MB
  25. 05 - Filter data with DataFrame API.srt 3.7 KB
  26. 06 - Aggregate data with DataFrame API.mp4 8.0 MB
  27. 06 - Aggregate data with DataFrame API.srt 6.2 KB
  28. 07 - Sample data from DataFrames.mp4 11.4 MB
  29. 07 - Sample data from DataFrames.srt 7.8 KB
  30. 08 - Save data from DataFrames.mp4 7.5 MB
  31. 08 - Save data from DataFrames.srt 5.5 KB
  32. 01 - Querying DataFrames with SQL.mp4 9.3 MB
  33. 01 - Querying DataFrames with SQL.srt 6.4 KB
  34. 02 - Filtering DataFrames with SQL.mp4 12.5 MB
  35. 02 - Filtering DataFrames with SQL.srt 8.6 KB
  36. 03 - Aggregating Data with SQL.mp4 11.2 MB
  37. 03 - Aggregating Data with SQL.srt 7.7 KB
  38. 04 - Joining DataFrames with SQL.mp4 11.1 MB
  39. 04 - Joining DataFrames with SQL.srt 8.3 KB
  40. 05 - Eliminating duplicates in DataFrames.mp4 8.7 MB
  41. 05 - Eliminating duplicates in DataFrames.srt 7.5 KB
  42. 06 - Working with NA values in DataFrames.mp4 11.7 MB
  43. 06 - Working with NA values in DataFrames.srt 8.0 KB
  44. 01 - Exploratory data analysis with DataFrames.mp4 16.1 MB
  45. 01 - Exploratory data analysis with DataFrames.srt 10.6 KB
  46. 02 - Exploratory data analysis with Spark SQL.mp4 11.1 MB
  47. 02 - Exploratory data analysis with Spark SQL.srt 7.2 KB
  48. 03 - Timeseries analysis with DataFrames.mp4 30.1 MB
  49. 03 - Timeseries analysis with DataFrames.srt 14.3 KB
  50. 04 - Basic machine learning with DataFrames, part 1.mp4 18.1 MB
  51. 04 - Basic machine learning with DataFrames, part 1.srt 11.6 KB
  52. 05 - Basic machine learning with DataFrames, part 2.mp4 12.5 MB
  53. 05 - Basic machine learning with DataFrames, part 2.srt 9.3 KB
  54. 01 - Next steps.mp4 1.3 MB
  55. 01 - Next steps.srt 1.3 KB
  56. Bonus Resources.txt 70 bytes
  57. 03.01 Loading csv files into dataframes.ipynb 3.3 KB
  58. 03.02 Reading JSON Files.ipynb 2.3 KB
  59. 03.03 Basic Dataframe Operations.ipynb 2.5 KB
  60. 03.04 Filtering using Dataframe API.ipynb 1.7 KB
  61. 03.05 Aggregating using Dataframe API.ipynb 1.7 KB
  62. 03.06 Sampling using Dataframe API.ipynb 2.6 KB
  63. 03.07 Saving Data from Dataframes.ipynb 2.1 KB
  64. 03.01 Loading csv files into dataframes.ipynb 10.5 KB
  65. 03.02 Reading JSON Files.ipynb 6.9 KB
  66. 03.03 Basic Dataframe Operations.ipynb 11.6 KB
  67. 03.04 Filtering using Dataframe API.ipynb 6.0 KB
  68. 03.05 Aggregating using Dataframe API.ipynb 6.7 KB
  69. 03.06 Sampling using Dataframe API.ipynb 6.7 KB
  70. 03.07 Saving Data from Dataframes.ipynb 5.4 KB
  71. 04.01 Querying Dataframes with SQL.ipynb 2.7 KB
  72. 04.02 Filtering Dataframes with SQL.ipynb 3.2 KB
  73. 04.03 Aggregating Dataframes with SQL.ipynb 4.0 KB
  74. 04.04 Joining Dataframes with SQL.ipynb 3.3 KB
  75. 04.05 De-duplicating.ipynb 1.7 KB
  76. 04.06 Working with NAs.ipynb 9.0 KB
  77. 04.01 Querying Dataframes with SQL.ipynb 7.2 KB
  78. 04.02 Filtering Dataframes with SQL.ipynb 10.1 KB
  79. 04.03 Aggregating Dataframes with SQL.ipynb 11.5 KB
  80. 04.04 Joining Dataframes with SQL.ipynb 8.8 KB
  81. 04.05 De-duplicating.ipynb 3.1 KB
  82. 04.06 Working with NAs.ipynb 8.9 KB
  83. 05.01 Exploratory Analysis.ipynb 3.6 KB
  84. 05.02 Timeseries Analysis .ipynb 3.8 KB
  85. 05.03 Machine Learning - Clustering.ipynb 2.6 KB
  86. 05.04 Machine Learning - Linear Regression.ipynb 2.5 KB
  87. 05.01 Exploratory Analysis.ipynb 11.4 KB
  88. 05.02 Timeseries Analysis .ipynb 12.8 KB
  89. 05.03 Machine Learning - Clustering.ipynb 5.4 KB
  90. 05.04 Machine Learning - Linear Regression.ipynb 5.4 KB
  91. location_temp.csv 14.2 MB
  92. server_name.csv 772 bytes
  93. utilization.csv 17.6 MB
  94. utilization.json 56.2 MB
  95. Spark Mac Linux Export Environment Variables 163 bytes
  96. Spark Windows Instructions 750 bytes

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