Never stop talking " STOP the Gaza Genocide "
  • رقم الدرس : 07
  • 02:19:19

  • Day_4_Spark DataFrame Operations (cont.), SQL Operations, Data Sources

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دروس الكورس

  1. 1- Day_1_Part_1_Introduction to Spark for Big Data
  2. 2- Day_1_Part_2_How to install spark for Windows and Ubuntu (Part 1 Windows Installation)
  3. 3- Day_1_Part_2_How to install spark for Windows and Ubuntu (Part 2 Ubuntu Installation) New
  4. 4- Day_2_Part_1_Resilient Distributed Dataset (RDD)
  5. 5- Day_2_Part_2_Resilient Distributed Dataset (RDD)
  6. 6- Day_3_Spark DataFrame (DF), DF Operations
  7. 7- Day_4_Spark DataFrame Operations (cont.), SQL Operations, Data Sources
  8. 8- Day 5 Spark for Machine Learning Part 1
  9. 9- Day 5 Spark for ML Part 2
  10. 10- Day 5 Spark for ML Part 3 Handle Invalid
  11. 11- Day 6 Spark Structured Streaming Part 1
  12. 12- Day 6 Spark Structured Streaming Part 2
  13. 13- Day 6 Spark Structured Streaming Part 3
  14. 14- Day 7 Graph Processing Part 1 (GraphFrames Installation)
  15. 15- Day 7 Graph Processing (GraphFrames) Part 2
  16. 16- Day 7 Graph Processing GraphFrames Part 3
  17. 17- Day 7 Graph Processing GraphFrames Part 4
  18. 18- Day 7 Graph Processing GraphFrames Part 5
  19. 19- Day 8 Part 1 User Defined Function (UDF)
  20. 20- Day 8 Part 2 Spark Deployment on Cloud AWS (Last Video)
  21. 21- More and New From PySpark: SQL Spark & Databases Part 1
  22. 22- More and New From PySpark: SQL Spark & Databases Part 2 (Managed Tables)
  23. 23- More and New From PySpark: SQL Spark & Databases Part 3 (UnManaged Tables)
  24. 24- More and New From PySpark: SQL Spark & Databases Part 4 (Different input and output data sources)
  25. 25- More and New From PySpark: SQL Spark & Databases Part 5 (Connecting to PostgreeSQL DB)
  26. 26- More and New From PySpark: Structured Streaming Window Operation Part 1
  27. 27- More and New From PySpark: Structured Streaming Window Operation Part 2 (Overlapping Windows)
  28. 28- More and New From PySpark: Spark Deployment on New AWS EMR and Workspace (Notebook) Part_1
  29. 29- More and New From PySpark: Spark Deployment on New AWS EMR and Workspace (Notebook) Part_2
  30. 30- Introduction to Big Data and Spark Lecture Slides