What is Databricks_
                     What is Databricks?
Databricks 101
A 101 Guide for AI-Savvy Brands
GSPANN Resource Overview
Introduction to Databricks
• Databricks is a unified data analytics and AI 
platform
• Built on Apache Spark
• Designed for data engineering, data science, 
and machine learning
• Enables collaboration across data teams
• Simplifies big data processing at scale
The Lakehouse Architecture
• Combines the best of Data Lakes and Data 
Warehouses
• Stores structured and unstructured data
• Supports BI, analytics, and AI workloads
• Eliminates data silos
• Provides governance, reliability, and 
performance
Core Capabilities of Databricks
• Delta Lake for reliable data storage
• MLflow for ML lifecycle management
• Unity Catalog for data governance
• Collaborative notebooks for teams
• SQL analytics and BI integrations
Why Databricks Matters for Modern Brands
• Faster AI and analytics deployment
• Real-time data-driven decision-making
• Scalable cloud-native infrastructure
• Reduced operational complexity
• Improved cross-functional collaboration
Common Databricks Use Cases
• Customer 360 and personalization
• Predictive analytics and forecasting
• Fraud detection
• Recommendation engines
• AI-powered business intelligence
Thank You