Day_1_Part_2_How to install spark for Windows and Ubuntu (Part 2 Ubuntu Installation) New

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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