Up and Running with CrateDB
Lesson 1: What is CrateDB?
Lesson 2: Getting Started with CrateDB Cloud
Lesson 3: Getting Started with Docker
Lesson 4: Installing the Crash CLI
Lesson 5: Loading the Dataset
Lesson 6: Hands-on: Your First CrateDB Cluster
Lesson 7: Querying the Sample Data
Why CrateDB
Lesson 8: Benefits of a Multi-Model Database
Lesson 9: Example Use Cases
Data Modelling with CrateDB
Lesson 10: Data Modelling: Overview
Lesson 11: Primitive Data Types
Lesson 12: Working with Time Series Data
Lesson 13: Hands-on: Time Series Data
Lesson 14: Document Data
Lesson 15: Hands-on Document Data
Lesson 16: Vector Similarity Search
Lesson 17: Geospatial Data
Lesson 18: Hands-on: Geospatial Data
Working with Data in CrateDB
Lesson 19: Importing and Exporting Data
Lesson 20: Streaming & Foreign Data Wrappers
Lesson 21: Indexing
Lesson 22: Aggregating and Grouping Data
Lesson 23: Hands-on: Aggregating and Grouping Data
Lesson 24: Querying Data with Joins
Lesson 25: Hands-on: Querying Data with Joins
Lesson 26: Full-Text Search
Lesson 27: Hands-on: Full-Text Search
Lesson 28: Powerful SQL Queries
Lesson 29: User-Defined Functions
Integrating CrateDB into your Application
Lesson 30: Client Interfaces
Lesson 31: Drivers
Lesson 32: Tools and Ecosystem Integrations
Operating at Scale
Lesson 33: Architecture Overview
Lesson 34: Monitoring and Tuning
Lesson 35: Security
Enroll into the CrateDB Fundamentals course now and get your certificate!