Lakehouse analytics# Introduction Rapid analytics for Postgres Postgres native Vectorized execution Columnar storage Lakehouse Sync Fully managed service Try it today Concepts - EDB Postgres Lakehouse Major concepts Lakehouse node Lakehouse tables Managed storage location Lakehouse Sync Terminology Lakehouse Vectorized query engine Delta tables How it works Level 100 Level 200 Level 300 Quick Start - EDB Postgres Lakehouse Introduction What to know Basic architecture Getting started Create a Lakehouse node Operating a Lakehouse node Connect to the node Understand the constraints Inspect the benchmark datasets Query the benchmark datasets Querying Delta Lake Tables in S3-compatible object storage Overview Prerequisites Creating an External Table Querying an External Table Lakehouse Sync Overview Performing a Lakehouse Sync Prerequisites Navigate to Lakehouse Sync Define Lakehouse Sync Selecting Tables Start Lakehouse Sync Reference - EDB Postgres® AI Lakehouse Supported cloud providers and regions Supported AWS instances Benchmarking datasets Queries Delta Lake Table tools Creating Delta Lake Tables PGAA functions reference pgaa.create_storage_location DirectScan, fallback modes, and EXPLAIN User management Loading data (sync or bring your own) Loading data with Lakehouse sync Bringing your own data
