Deep Learning Nerds Academy
The ultimate Learning Platform for AI, Data Science, Data Analytics and Data Engineering.

What’s new?
Implement row-level access control for Warehouses in Microsoft Fabric (DP-600)
Academy Membership Microsoft FabricDP-600

Implement row-level access control for Warehouses in Microsoft Fabric (DP-600)

Introduction Microsoft Fabric provides powerful security features to control data access at a granular level. In the DP-600 certification exam, mastering how to implement row-level access control is essential for ensuring users see only the data relevant to them while maintaining governance and compliance. In this tutorial, you'll...

Premium posts Previous posts
PySpark - Replace Empty Strings with Null Values
Academy Membership PySparkPython

PySpark - Replace Empty Strings with Null Values

Introduction When working with PySpark DataFrames, handling missing or empty values is a common task in data preprocessing. In many cases, empty strings ("") should be treated as null values for better compatibility with Spark operations, such as filtering, aggregations, and machine learning workflows. In this tutorial, we’ll...

Implement workspace-level access controls in Microsoft Fabric (DP-600)
Academy Membership Microsoft FabricDP-600

Implement workspace-level access controls in Microsoft Fabric (DP-600)

Introduction Microsoft Fabric provides robust access control mechanisms to manage data security and user permissions effectively. In the DP-600 certification exam, understanding how to implement workspace-level access controls is crucial for securing sensitive data and ensuring appropriate governance. In this tutorial, you'll learn how to manage workspace access,...

PySpark - Split a Column into Multiple Columns
Academy Membership PySparkPython

PySpark - Split a Column into Multiple Columns

Introduction When working with data in PySpark, you might often encounter scenarios where a single column contains multiple pieces of information, such as a combination of names, categories, or attributes. In such cases, it is essential to split these values into separate columns for better data organization and analysis. In...

You’ve successfully subscribed to Deep Learning Nerds | The ultimate Learning Platform for AI and Data Science
Welcome back! You’ve successfully signed in.
Great! You’ve successfully signed up.
Success! Your email is updated.
Your link has expired
Success! Check your email for magic link to sign-in.