AWS DATA ENGINEERING - 37. Pyspark interview question |JSON Parse | pyspark tutorial

#pyspark #spark #pysparkinterview #dataengineer Pyspark interview question 1. WE are getting data in the form of string JSON we need to convert into json format using pyspark 2. After converting we need to create seperate column from the json body. using pyspark Want more similar videos- hit like, comment, share and subscribe ❤️Do Like, Share and Comment ❤️ ❤️ Like Aim 5000 likes! ❤️ ➖➖➖➖➖➖➖➖➖➖➖➖➖ Please like & share the video. ➖➖➖➖➖➖➖➖➖➖➖➖➖ data data=[('Manish','{"street": "123 St", "city": "Delhi"}'),('Ram','{"street": "456 St", "city": "Mumbai"}')] schema=['name','address'] df=spark.createDataFrame(data,schema) print(df.printSchema()) display(df) ➖➖➖➖➖➖➖➖➖➖➖➖➖ 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! ➖➖➖➖➖➖➖➖➖➖➖➖➖