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Introduction to Databricks Lakehouse

Gang Wang

Senior Data Scientist

Chapter 1: The Lakehouse Paradigm

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  • The lakehouse combines lake flexibility with warehouse reliability
  • The medallion architecture organizes data: bronze → silver → gold
  • The control plane is managed by Databricks; the data plane lives in your cloud

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recraft: half: A modern building with a glass facade reflecting both a warehouse structure and a lake, representing the lakehouse architecture unifying two approaches

Introduction to Databricks Lakehouse

Chapter 2: Compute and Notebooks

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recraft: half: A cluster of interconnected servers with glowing nodes and a notebook open in front, representing compute resources and interactive development

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  • All-purpose clusters for interactive work; jobs clusters for automation
  • Autoscaling, auto-termination, and policies keep costs in check
  • Notebooks support multiple languages with magic commands
  • Databricks Repos brings full Git integration to the workspace
Introduction to Databricks Lakehouse

Chapter 3: Governance and Sharing

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  • Unity Catalog provides centralized governance and automatic lineage tracking
  • Delta Sharing gives external partners live access to data - no copies
  • Native sharing for Databricks-to-Databricks; open protocol for any platform
  • Lakehouse Federation queries external databases without moving data

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recraft: half: A shield with a lock at the center surrounded by flowing data streams connecting to different buildings, representing governance and secure data sharing

Introduction to Databricks Lakehouse

Chapter 4: Deployment

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recraft: half: A rocket launching from a laptop screen with deployment pipelines and code flowing upward, representing automated deployment to production

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  • Databricks Asset Bundles replace manual UI deployment with code
  • databricks.yml defines your project, resources, and targets
  • CLI commands: validate, deploy, run, destroy
  • Everything lives in Git - reproducible, auditable, automated
Introduction to Databricks Lakehouse

Where to go next

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  • Introduction to Databricks SQL - SQL analytics and warehousing
  • Data Engineering with Databricks - production ETL pipelines
  • Databricks Concepts - end-to-end workflows across personas

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recraft: half: A winding road stretching into the distance through a colorful landscape with signposts along the way, representing the learning journey ahead

Introduction to Databricks Lakehouse

Thank you!

Introduction to Databricks Lakehouse

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