User-Defined Schema in Databricks

User-Defined Schema in Databricks

If you’ve been working with CSV files in Databricks, you must be familiar with a very useful option called inferSchema while loading CSV files. It is the default option that is widely used by developers to identify the columns, data types, and nullability,...
Dynamic Data Masking

Dynamic Data Masking

This post is the continuation of Azure SQL security recommendations. In the earlier posts, we visited the concept of Row-level security for limiting user access to related data. Today, we will look at how to mask sensitive data using Dynamic Data Masking feature....
Parameterize Connections in Azure Data Factory

Parameterize Connections in Azure Data Factory

Azure Data Factory is a managed cloud service that is built for complex data orchestration processes and hybrid extract-transform-load (ETL), extract-load-transform (ELT), and data integration projects. In this blog, we will demonstrate how to parameterize connection...
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