Tips and Tricks- Delta Lake Table in Apache Spark - Azure Data Engineering Interview Question

#PySpark #DeltaTable #AzureDatabricks #BigData #DataEngineering #DataLake #InterviewQuestions #TechTutorial #DataAnalytics #DataTransformation #SchemaEvolution #ACIDProperties #DataGovernance #TimeTravel #DataPipelines #Azure #Databricks
🔍 What We'll Cover:
Delta Table Overview: Understand why Delta Tables have become a popular choice for big data analytics in cloud-based platforms.
Code Walkthrough: Learn how to create a Delta Table in Azure Databricks using a sample dataframe.
Interview Question: Explore how to handle column names with spaces and special characters in Delta Tables.
Solutions: Discover two approaches to manage friendly column names-using Views and the latest Column Mapping feature.
TimeStamp:
0:00:00 - Intro
0:01:07 - Creating Delta Table
0:03:17 - Interview Question
0:07:26 - Approach 1- Creating views
0:10:25 - Approach 2- Enabling Name Mapping feature
0:13:25 - What is the best approach?
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[@ugandarhari]

Nice video again. Could you please tell where the underlying data is stored for Delta Lake tables? Is it in the Databricks hive metastore itself or in the Azure Delta Lake Storage?

[@rameshseetha1082]

hello Sir, your explanation is fantastic and it is easy to understand.
can you please also make video on how to answer for the question difference between Hadoop and Spark

[@abhiseksahu87]

Your Video creation is very engaging and content is super informative, this is one of my go to channel for Azure Data Engineering content .

[@mr.ktalkstech]

Thank you so much :)

[@sharaniyaswaminathan8760]

Thank you for this great info!

[@mr.ktalkstech]

Thank you so much :)

[@ADFuser]

Thank you

[@mr.ktalkstech]

You are welcome :)

[@sudhirg8773]

Awesome. Thanks a lot Mr. K

[@mr.ktalkstech]

You are welcome :)