Narrating
INTRODUCTION TO Databricks The Unified Analytics Platform J John Why "Unified"? S Sharon Built on Apache Spark One Platform, Every Role 👷 Data Engineers Build ELT pipelines Manage data flows 🧪 Data Scientists Create ML models Experiment & train 📊 Data Analysts SQL & Python queries Reports & insights 📈 BI Experts Build dashboards Business metrics SUPPORTED LANGUAGES Python SQL Scala R All in Databricks Pipelines + ML Models + Dashboards + Analysis Seamless Data Integration ☁️ Cloud Storage ADLS, S3, GCS 🗄️ Databases SQL Server, Postgres 🏢 Data Warehouses Snowflake, Redshift 📡 Streaming Data Kafka, Event Hubs Databricks Powered by Apache Spark Auto-managed Spark sessions No manual cluster setup Fully Managed No Spark session init Auto cluster scaling Infrastructure handled 🎯 Just focus on your work! The Lakehouse Architecture 🌊 Data Lake Flexible, scalable storage All data types: structured, semi-structured, unstructured Flexibility ✓ + 🏛️ Data Warehouse Structured, organized ACID transactions Schema enforcement Structure ✓ = Lakehouse Architecture Flexibility + Structure | Real-time + Historical | Organized + Secure 🔒 Governance Right teams → Right data 📡 Real-time Streaming Live orders, sensor data Databricks Architecture AWS Azure GCP Control Plane (Databricks Account) 🎮 The "Remote Control" Manage clusters Orchestrate tasks Notebooks, Workflows, Repos Compute Plane (Your Cloud Account) 🚗 The "Car" — does the work Worker nodes (RAM+CPU) Cloud storage (Data Lake) Actual data processing & storage Serverless Compute Plane Fully managed by Databricks. No cluster setup. Automatic provisioning & scaling. Perfect for quick, on-demand tasks ⚡ Workspace & Pricing Tiers Databricks Workspace A collaborative environment for managing data, clusters, notebooks, and pipelines Tip: Use separate workspaces for production vs. development PREMIUM TIER 🔒 For sensitive data ✓ Role-based access control ✓ Secure cluster connectivity ✓ Column-level security ✓ Customer transactions & PII Best for production & compliance STANDARD TIER 📋 For non-sensitive data ✓ Basic data analysis ✓ ETL pipeline testing ✓ Product sales reports ✓ Development workloads Best for dev & smaller projects Clusters: Compute Options All-Purpose Compute 🔧 Interactive development & testing Stays active until you terminate Explore data, iterate, experiment Best for: Dev & Testing Job Compute ⏰ Automated, scheduled tasks Starts when job begins, stops when done Saves resources & costs Best for: Production & Scheduling Cluster Pools Pre-created VMs — new clusters start almost instantly! Frequent Jobs Quick cluster starts Scaling Workloads Minimize provisioning delays Cost Optimization Pay only for what you use Notebooks & Collaboration Databricks Notebook %python df = spark.read... %sql SELECT * FROM orders %scala val rdd = sc.para... ✓ Multi-language in one notebook ✓ Real-time co-authoring ✓ Version control built-in ✓ No Jupyter or SSMS needed Databricks = Unified Analytics Platform ELT Pipelines Data Engineers ML Models Data Scientists Dashboards BI Experts Collaboration All Teams John's Ready to Build! One platform. Infinite possibilities.
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