106.Databricks|Pyspark|Automation|Real Time Project:DataType Issue When Writing to Azure Synapse/SQL

Azure Databricks Learning: Pyspark Development: Real Time Project: DataType Issue While Writing Into Azure Synapse/SQL
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How to handle data type mismatch issue between databricks and azure data warehouse while writing dataframe into ADW?

This video provides an automated solution approach to handle data type mismatch issue between databricks and azure data warehouse.

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[abhishekrajoriya]

Thanks a lot sir for sharing such real-time automation scenarios, this will help us to make more dynamic solutions

[VenkatGolivi]

Excellent you deserve for more subscriptions

[chappasiva]

Hi Raja,
Nice explanation.
where can we get the note books. please provide me those.

[rajunaik]

Hi Raja, I guess we can also do type casting according to target system before appending! Do you see any challenges in type casting?

[Ramakrishna]

Hi Nice explanation. My requirement is source is CSV, target is delta table.. so how to fetch column name and datatype for delta table..

[sravankumar]

Same logic how can we apply Mongo db and cosmos db, can you please explain. Basically these databases support different datatype right ? Can you please make one video on this one 🙏

[sravankumar]

I have one doubt how can we select query for azure Mongo db

[suvratrai]

what if there are more columns in dataframe, compared to table?