Generative AI for Data Engineering: ChatGPT Power Tips
Generative AI for Data Engineering: ChatGPT Power Tips
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 8m | 132 MB
Instructor: Deepak Goyal
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 8m | 132 MB
Instructor: Deepak Goyal
This practical course helps you harness the power of ChatGPT to streamline your coding tasks, automate documentation, and enhance data workflows in PySpark and Databricks. Azure cloud solution architect Deepak Goyal shows you advanced prompt engineering techniques to generate precise and useful code, optimize SQL queries, and create insightful data visualizations. Plus, dive into essential security and ethical considerations to ensure responsible AI usage. By the end of this course, you'll be equipped with the skills to efficiently tackle data engineering challenges using ChatGPT.
Learning objectives
- Generate efficient and accurate data engineering code using ChatGPT, including tasks such as data loading, cleaning, and transformation.
- Automate the creation of comprehensive documentation and perform insightful data analysis using ChatGPT to ensure thorough project documentation and meaningful data insights.
- Use ChatGPT to enhance data engineering workflows in PySpark and Databricks, including generating and optimizing code, integrating workflows, and creating dashboards.
- Apply advanced prompt engineering techniques to maximize the utility of ChatGPT in various data engineering scenarios, such as writing effective and contextual prompts and combining multiple prompts for complex tasks.
- Implement data privacy, security, and ethical considerations when using ChatGPT in data engineering, to ensure responsible use of AI and compliance with data governance standards.
Generative AI for Data Engineering: ChatGPT Power Tips
