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Certified Associate Developer for Apache Spark

PDFs and exam guides are not so efficient, right? Prepare for your Databricks examination with our training course. The Certified Associate Developer for Apache Spark course contains a complete batch of videos that will provide you with profound and thorough knowledge related to Databricks certification exam. Pass the Databricks Certified Associate Developer for Apache Spark test with flying colors.

95 Students Enrolled 34 Lectures 04:28:15 Hours

Curriculum For This Course

1

Apache Spark Architecture: Distributed Processing

4Lectures

Time 00:20:57

2

Apache Spark Architecture: Distributed Data

2Lectures

Time 00:19:55

3

DataFrame Transformations

23Lectures

Time 02:53:36

4

Apache Spark Architecture Execution

4Lectures

Time 00:41:32

5

Exam Logistics

1Lectures

Time 00:12:15

Apache Spark Architecture: Distributed Processing
	1. What You Will Learn In This Section	0:33
	2. Distributed Processing: How Apache Spark Runs On A Cluster	10:32
	3. Azure Databricks: How To Create A Cluster	6:30
	4. Databricks Community Edition: How To Create A Cluster	3:22

Apache Spark Architecture: Distributed Data
	1. Distributed Data: The DataFrame	9:35
	2. How To Define The Structure Of A DataFrame	10:20

DataFrame Transformations
	1. Selecting Columns	11:42
	2. Renaming Columns	2:52
	3. Change Columns data type	6:10
	4. Adding Columns to a DataFrame	5:30
	5. Removing Columns from a DataFrame	2:54
	6. Basics Arithmetic with DataFrame	4:15
	7. Apache Spark Architecture: DataFrame Immutability	9:34
	8. How To Filter A DataFrame	8:23
	9. Apache Spark Architecture: Narrow Transformations	2:14
	10. Dropping Rows	5:43
	11. Handling Null Values Part I - Null Functions	4:45
	12. Handling Null Values Part II - DataFrameNaFunctions	11:44
	13. Sort and Order Rows - Sort & OrderBy	6:04
	14. Create Group of Rows: GroupBy	9:45
	15. DataFrame Statistics	11:27
	16. Joining DataFrames - Inner Join	6:14
	17. Joining DataFrames - Right Outer Join	6:10
	18. Joining DataFrames - Left Outer Join	5:31
	19. Appending Rows to a DataFrame - Union	6:00
	20. Cahing a DataFrame	11:50
	21. DataFrameWriter Part I	14:36
	22. DataFrameWriter Part II - PartitionBy	8:05
	23. User Defined Functions	12:08

Apache Spark Architecture Execution
	1. Query Planning	11:19
	2. Execution Hierarchy	7:22
	3. Partioning a DataFrame	7:44
	4. Adaptive Query Execution - An Introductuction	15:07

Exam Logistics
	1. Exam Logistics	12:15

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