Pyspark Scenarios 9 : How to get Individual column wise null records count #pyspark #databricks

Pyspark Scenarios 9 : How to get Individual column wise null records count #pyspark #databricks Pyspark Interview question Pyspark Scenario Based Interview Questions Pyspark Scenario Based Questions Scenario Based Questions #PysparkScenarioBasedInterviewQuestions #ScenarioBasedInterviewQuestions #PysparkInterviewQuestions employee data file location : raw file : https://raw.githubusercontent.com/raveendratal/ravi_azureadbadf/main/emp.csv csv file: https://github.com/raveendratal/ravi_azureadbadf/blob/main/emp.csv

Databricks notebook location:

https://github.com/raveendratal/ravi_azureadbadf/blob/main/azure_realtime_scenarios/How%20to%20get%20Individual%20column%20wise%20null%20records%20count.ipynb

Complete Pyspark Real Time Scenarios Videos.

Pyspark Scenarios 1: How to create partition by month and year in pyspark https://youtu.be/HU29qHboPN4 pyspark scenarios 2 : how to read variable number of columns data in pyspark dataframe #pyspark https://youtu.be/R7PEwQzqYmY Pyspark Scenarios 3 : how to skip first few rows from data file in pyspark https://youtu.be/4eFaWM6m-wk Pyspark Scenarios 4 : how to remove duplicate rows in pyspark dataframe #pyspark #Databricks https://youtu.be/xw4a9qbOh-Q Pyspark Scenarios 5 : how read all files from nested folder in pySpark dataframe https://youtu.be/7jxFffeQHpQ Pyspark Scenarios 6 How to Get no of rows from each file in pyspark dataframe https://youtu.be/wp2KgEy0pTo Pyspark Scenarios 7 : how to get no of rows at each partition in pyspark dataframe https://youtu.be/uNTo8FneU4E Pyspark Scenarios 8: How to add Sequence generated surrogate key as a column in dataframe. https://youtu.be/WsU7jX3KUVM Pyspark Scenarios 9 : How to get Individual column wise null records count https://youtu.be/2bmH3zemRe0 Pyspark Scenarios 10:Why we should not use crc32 for Surrogate Keys Generation? https://youtu.be/fg6zwaYdneU Pyspark Scenarios 11 : how to handle double delimiter or multi delimiters in pyspark https://youtu.be/J2Fb2lAt5Eo Pyspark Scenarios 12 : how to get 53 week number years in pyspark extract 53rd week number in spark https://youtu.be/VpYcbPRSasc Pyspark Scenarios 13 : how to handle complex json data file in pyspark https://youtu.be/aBNQzWV_UmE Pyspark Scenarios 14 : How to implement Multiprocessing in Azure Databricks https://youtu.be/OQeRPh04mz4 Pyspark Scenarios 15 : how to take table ddl backup in databricks https://youtu.be/yukhCLUo1Qk Pyspark Scenarios 16: Convert pyspark string to date format issue dd-mm-yy old format https://youtu.be/F64rlowo4lU Pyspark Scenarios 17 : How to handle duplicate column errors in delta table https://youtu.be/61BhN7GPtU8 Pyspark Scenarios 18 : How to Handle Bad Data in pyspark dataframe using pyspark schema https://youtu.be/yKueGqJAgwM Pyspark Scenarios 19 : difference between #OrderBy #Sort and #sortWithinPartitions Transformations https://youtu.be/cr8bcpvC8Hk Pyspark Scenarios 20 : difference between coalesce and repartition in pyspark #coalesce #repartition https://youtu.be/9tRyWZvdUMM Pyspark Scenarios 21 : Dynamically processing complex json file in pyspark #complexjson #databricks https://youtu.be/qfJb45SusMo Pyspark Scenarios 22 : How To create data files based on the number of rows in PySpark #pyspark https://youtu.be/O1SpqoFirxc

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