Data Revolution with Databricks: From ETL to AI-Powered Analytics Workshop

Join us for a comprehensive hands-on session exploring Databricks, the unified data analytics platform that's transforming how organizations handle data processing, analytics, and AI implementation.

Bring your laptop for the hands-on portions of this workshop!

## Event Agenda:

### 1. Welcome & Event Objectives (5 mins)

### 2. Understanding the Databricks ecosystem and architecture - Abhishek and Amrith

• Introduction to Databricks
• Key benefits and use cases across industries
• How Databricks integrates with existing data infrastructure
• Speakers' LinkedIn - https://www.linkedin.com/in/abishek-subramanian/ and https://in.linkedin.com/in/amrithv

### 3. Data Loading Strategies in Databricks (20-30 mins) - Bharani

• Comprehensive review of data ingestion methods
• Live demonstration of ETL processes
• SQL warehouse capabilities and best practices
• Speaker LinkedIn - https://www.linkedin.com/in/bharanidharan-muthukumar/

### 4. Databricks Environment Setup Workshop (15 mins) - Vishali

• Step-by-step guide to configure your workspace
• Setting up clusters and notebook environments
• Security considerations and best practices
• Speaker LinkedIn - https://www.linkedin.com/in/vishalis/

### 5. Hands-on Workshop: Databricks ETL & AI/BI Genie (1 hour)

• Interactive session building real ETL pipelines
• Implementing AI capabilities using Databricks features
• Creating insightful visualizations and reports
• Optimizing performance for large-scale data operations

### 6. Wrap-up and Q&A (30 mins)

• Discussion of real-world applications and implementation strategies
• Open forum for participant questions
• Resources for continued learning and next steps

## What You'll Learn:

• How to efficiently process and transform large datasets in Databricks
• Techniques for implementing AI and machine learning within your data pipelines
• Best practices for data engineering and analytics workflows
• Practical skills you can immediately apply to your data projects

Whether you're a data engineer, analyst, scientist, or business intelligence professional, this session will equip you with valuable skills to leverage Databricks for your data initiatives.