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Enhance Workflows in Databricks with Generative AI Features

In the fast-evolving world of data analytics, managing large datasets and ensuring accuracy are crucial yet challenging tasks. This course will teach you how to leverage generative AI in Databricks for enhanced workflows and data quality.

Baneen Qazi - Pluralsight course - Enhance Workflows in Databricks with Generative AI Features
by Baneen Qazi

What you'll learn

In today's data-driven world, efficiently managing and analyzing data is crucial. However, writing and debugging code whilst maintaining high-quality metadata can be time-consuming and prone to user error.

In this course, Enhance Workflows in Databricks with Generative AI Features, you’ll gain the ability to improve your data workflows using AI-powered tools. First, you’ll explore the generative AI features available in Databricks, understanding capabilities like natural language query generation and debugging. Next, you’ll learn how to enable and interpret AI-generated comments to improve metadata quality for tables and columns. Finally, you’ll discover how to use the Databricks Assistant to generate SQL queries and debug code with AI-powered suggestions, enhancing your workflow efficiency. When you’re finished with this course, you’ll have the skills and knowledge of Databricks generative AI features needed to streamline data analysis and collaboration.

Table of contents

About the author

Baneen Qazi - Pluralsight course - Enhance Workflows in Databricks with Generative AI Features
Baneen Qazi

Baneen is a marketing automation consultant with years of Salesforce experience. She is passionate about helping businesses deliver the right message at the right time by the right channel.

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