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17. Consecutive days PySpark interview question | Data Engineer interview
#dataengineerinterview #dataengineering #pysparkinterview
Find customers who have placed orders on consecutive days
Consecutive days PySpark interview question | Data Engineer interview
Want more similar videos- hit like, comment, share and subscribe
❤️Do Like, Share and Comment ❤️
❤️ Like Aim 5000 likes! ❤️
➖➖➖➖➖➖➖➖➖➖➖➖➖
Please like & share the video.
➖➖➖➖➖➖➖➖➖➖➖➖➖
script
data = [
(1, '2024-10-01'),
(1, '2024-10-02'),
(1, '2024-10-04'),
(2, '2024-10-03'),
(2, '2024-10-05'),
(3, '2024-10-01'),
(3, '2024-10-02'),
(3, '2024-10-03'),
]
# Create DataFrame
df = spark.createDataFrame(data, ["customer_id", "order_date"])
df.display()
➖➖➖➖➖➖➖➖➖➖➖➖➖
AWS DATA ENGINEER : https://www.youtube.com/playlist?list=PLOlK8ytA0MghpdMjb0m9zu1v9s_qbRP0q
Azure data factory :
https://youtube.com/playlist?list=PLOlK8ytA0MgguN5XidtQXbILxwCdJCUJE&si=iEICXHP80zGchUYh
Azure data engineer playlist : https://youtube.com/playlist?list=PLOlK8ytA0MghBrzu0i6WlTBdoO1WdwV_e
SQL PLAYLIST : https://www.youtube.com/playlist?list=PLOlK8ytA0MggGXIKmbfZ-_Xqcos3JKdV-
PYSPARK PLAYLIST -
https://www.youtube.com/playlist?list=PLOlK8ytA0MgjvOpd-088NRU_vTYw_aryH
➖➖➖➖➖➖➖➖➖➖➖➖➖
📣Want to connect with me? Check out these links:📣
Join telegram to discuss https://t.me/+Cb98j1_fnZs3OTA1
➖➖➖➖➖➖➖➖➖➖➖➖➖
what we have covered in this video:
➖➖➖➖➖➖➖➖➖➖➖➖➖
Hope you liked this video and learned something new :)
See you in next video, until then Bye-Bye!
➖➖➖➖➖➖➖➖➖➖➖➖➖
Видео 17. Consecutive days PySpark interview question | Data Engineer interview канала learn by doing it
Find customers who have placed orders on consecutive days
Consecutive days PySpark interview question | Data Engineer interview
Want more similar videos- hit like, comment, share and subscribe
❤️Do Like, Share and Comment ❤️
❤️ Like Aim 5000 likes! ❤️
➖➖➖➖➖➖➖➖➖➖➖➖➖
Please like & share the video.
➖➖➖➖➖➖➖➖➖➖➖➖➖
script
data = [
(1, '2024-10-01'),
(1, '2024-10-02'),
(1, '2024-10-04'),
(2, '2024-10-03'),
(2, '2024-10-05'),
(3, '2024-10-01'),
(3, '2024-10-02'),
(3, '2024-10-03'),
]
# Create DataFrame
df = spark.createDataFrame(data, ["customer_id", "order_date"])
df.display()
➖➖➖➖➖➖➖➖➖➖➖➖➖
AWS DATA ENGINEER : https://www.youtube.com/playlist?list=PLOlK8ytA0MghpdMjb0m9zu1v9s_qbRP0q
Azure data factory :
https://youtube.com/playlist?list=PLOlK8ytA0MgguN5XidtQXbILxwCdJCUJE&si=iEICXHP80zGchUYh
Azure data engineer playlist : https://youtube.com/playlist?list=PLOlK8ytA0MghBrzu0i6WlTBdoO1WdwV_e
SQL PLAYLIST : https://www.youtube.com/playlist?list=PLOlK8ytA0MggGXIKmbfZ-_Xqcos3JKdV-
PYSPARK PLAYLIST -
https://www.youtube.com/playlist?list=PLOlK8ytA0MgjvOpd-088NRU_vTYw_aryH
➖➖➖➖➖➖➖➖➖➖➖➖➖
📣Want to connect with me? Check out these links:📣
Join telegram to discuss https://t.me/+Cb98j1_fnZs3OTA1
➖➖➖➖➖➖➖➖➖➖➖➖➖
what we have covered in this video:
➖➖➖➖➖➖➖➖➖➖➖➖➖
Hope you liked this video and learned something new :)
See you in next video, until then Bye-Bye!
➖➖➖➖➖➖➖➖➖➖➖➖➖
Видео 17. Consecutive days PySpark interview question | Data Engineer interview канала learn by doing it
pyspark interview questions pyspark big data interview big data interview questions big data live interview big data mock interview big data hadoop interview questions pyspark interview questions and answers big data interview questions and answers big data interview live big data engineer interview questions spark interview questions big data interview questions for freshers big data interview questions for experienced
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6 декабря 2024 г. 16:03:09
00:09:24
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