Most Important Question of PySpark in LTIMindTree Interview Question | Salary in each department |

data=[('Genece' , 2 , 75000),
('𝗝𝗮𝗶𝗺𝗶𝗻' , 2 , 80000 ),
('𝗣𝗮𝗻𝗸𝗮𝗷' , 2 , 80000 ),
('Tarvares' , 2 , 70000),
('Marlania' , 4 , 70000),
('Briana' , 4 , 85000),
('𝗞𝗶𝗺𝗯𝗲𝗿𝗹𝗶' , 4 , 55000),
('𝗚𝗮𝗯𝗿𝗶𝗲𝗹𝗹𝗮' , 4 , 55000),
('Lakken', 5, 60000),
('Latoynia' , 5 , 65000) ]
schema="emp_name string,dept_id int,salary int"
df=spark.createDataFrame(data,schema)
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[@user-eb1ut6gb7f]

This is really very helpful video content. Please keep it up

[@KiranJadhav-pu8gi]

Great

[@sandipmohanty6650]

we can use first_value & last_value analytical functions to get this

[@user-eb1ut6gb7f]

Hi @GeekCoders, Do you have complete project and end to end course on Pyspark and Databricks?

[@GeekCoders]

Please check this: www.geekcoders.co.in/courses/Build-Real-Time-DeltaLake-Project--using-PySpark-and-Spark-SQL-with-Databricks-64a0af30e4b0f71237fa1bf3-64a0af30e4b0f71237fa1bf3