Building Production-Ready Data Applications with Databricks Asset Bundles - Cookies Dataset Analysis

Overview

Master real-time analytics and streaming data applications using Databricks Asset Bundles, featuring hands-on experience with the Bakehouse application and AI-powered store location optimization.

Syllabus

• Introduction to Databricks
Overview of Databricks platform and architecture
Key features and benefits for data applications
• Understanding Databricks Asset Bundles
Definition and components of Asset Bundles
Use cases and advantages in data applications
• Introduction to the Cookies Dataset
Dataset exploration and characteristics
Data cleaning and preprocessing techniques
• Real-Time Analytics with Databricks
Concepts of real-time data processing
Tools and technologies for streaming analytics in Databricks
• Building the Bakehouse Application
Application architecture and design
Integrating Asset Bundles into the Bakehouse application
Hands-on exercise: Develop a real-time data pipeline
• AI-Powered Store Location Optimization
Introduction to geospatial data analysis
Machine learning models for location optimization
Implementing AI-driven decision making in Databricks
• Hands-On Lab: Integrating AI with Databricks
Applying machine learning models to the Cookies dataset
Real-time model inference and deployment
• Best Practices for Production-Ready Data Applications
Data governance and security considerations
Monitoring and scaling data applications on Databricks
• Case Study: Bakehouse Application in Action
End-to-end walkthrough of the application
Lessons learned and common challenges
• Course Summary and Next Steps
Key takeaways and final Q&A
Additional resources for further learning on Databricks and AI applications

Subjects

Data Science