7. Read Parquet file into Dataframe using PySpark | Azure Databricks

In this video, I discussed about reading parquet files data in to dataframe using pyspark.
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#PySpark #Spark #databricks #synapse #notebook #azuredatabricks #PySparkcode #dataframe #WafaStudies #maheer

[@azurecontentannu6399]

Very nicely explained.. Thankyou for the video 😊

[@WafaStudies]

Thank you ☺️

[@sumanthb3280]

You are here😊.Both trainers at a place👍...N

[@Growth__Hub_2805]

Good Syllabus and good explanation! 🤩 Thanks

[@starmscloud]

Good One Maheer !

[@samratbudhavaram868]

Excellent video sir

[@polakigowtam183]

Good Vedio Maheer

[@kingmaker-ky2th]

Please demonstrate vedio''s on Azure synapse concepts as well

[@WafaStudies]

I have azure synapse playlist in my channel. Kindly check it.

[@arrooow9019]

Amazing video Thanks 👍 much.

[@The_Option_Seller_Room]

it will be very kind of you if you attach dataset into discription.....plz

[@ANILKUMARNAGAR]

Thank you very much, @Maheer

[@WafaStudies]

Welcome 😊

[@vutv5742]

Completed ❤

[@mahihi251]

Super

[@WafaStudies]

Thank you 😊

[@datasciencecamp]

Cannot we import multiple parquet files as a List e.g. df = spark.read.parquet(path=["ParquetData/data1.parquet","ParquetData/data2.parquet"])
I am getting schema error. I customised the schema and passed schema to the parquet() method, it still did not work. It works perfectly fine for one file or all files.
please guide me why it is not accepting files as an array

[@emach4392]

what is the difference between a parquet file and a folder containing _success and snappy.parquet file?

[@manu77564]

thank you bhaii....

[@WafaStudies]

Welcome 😇

[@sridevimittapalli7966]

hi maheer, it seems you are sick and stressed out, its felt in ur tone. take care brother.

[@WafaStudies]

@@sridevimittapalli7966 thank you ya i was little sick last week hence no videos at that time. But i am feeling better now. Thank you so much for concern 😇

[@sumanthb3280]

@@WafaStudies More strength to you bro...SN

[@unmeshkadam4876]

Why we use parquet?