95. Databricks | Pyspark | Schema | Different Methods of Schema Definition

Azure Databricks Learning: Different Methods of Schema Definition
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What are the different methods of defining schema in databricks using pyspark?

Schema definition is on of the basic and most commonly used operation in Databricks development. Have explained different methods of defining schema in this video

To get through understanding of this concept, please watch this video

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[vemannagariraghuramireddy]

Best channel for understanding real time scenarios..

[nagulmeerashaik]

I'm a learning data engineering ....in your channel lot of information you have❤., ...

[_jasonj_]

Thanks for all your videos. Can you apply a schema to a read on a delta table or to the resulting dataframe? Literally every example of using schema's out there are on created static data or a csv file. How do I change the schema when reading from a delta table? I've streamed in txt files with variable length rows so wasn't able to assign a proper schema on the initial write but now I'm reading that data from delta and splitting out each record type into it's own delta table and want to apply the appropriate schema to each type.

[itsme-fevh]

It would be great if you can share the Data Sets and materials used during the session for practise.

[SantoshKumar-yrmd]

what if we have 100 columns in dataset so we need to write structtype structfield for every column what other options because it may be tidious

[abhishekstatus_]

It would be great if you can share the notebooks and materials used during the session

[KahinBhiKuchBhi]

If infer_schema is inplace.. why we need 1st and 2nd method.. is there any reason ?

[vikramnimma]

Hi raja, great videos. If possible can you create delta live tables

[mayurg]

Hello Raja it will be great if make video on delta live table
It will help us to understand in easy way

[sabesanj]

Raja sir will this question be asked in spark interviews??