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Welcome to lakeFS
⭐ Quickstart
1️⃣ Run lakeFS
2️⃣ Query the data
3️⃣ Create a branch
4️⃣ Commit and Merge
5️⃣ Roll back Changes
6️⃣ Using Actions and Hooks in lakeFS
7️⃣ Work with lakeFS data locally
Learn more about lakeFS
How-To
Install lakeFS
AWS
Azure
GCP
On-Premises
Upgrade lakeFS
Actions and Hooks
Airflow Hooks
Lua Hooks
Webhooks
Copying data to/from lakeFS
Data Catalogs Export
Export Data
Garbage Collection
Garbage Collection
Managed Garbage Collection
Import Data
Migrating away from lakeFS
Mirroring
Private Link
Protect Branches
Sizing Guide
System for Cross-domain Identity Management (SCIM)
Work with lakeFS data locally
Integrations
AWS CLI
Airbyte
Amazon Athena
Amazon SageMaker
Apache Airflow
Apache Hive
Apache Iceberg
Apache Kafka
Apache Spark
Cloudera
Delta Lake
Dremio
DuckDB
Git
Glue / Hive metastore
Glue Data Catalog
HuggingFace Datasets
Kubeflow
Presto / Trino
Python
R
Unity Catalog
Vertex AI
Understanding lakeFS
Architecture
Concepts and Model
Data Lifecycle Management
During Deployment
In Production
In Test
FAQ
Glossary
How lakeFS Works
Internal database structure
Merge
Versioning Internals
Performance Best Practices
Use Cases
CI/CD for Data Lakes
ETL Testing Environment
Reproducibility
Rollback
lakeFS Cloud
lakeFS Enterprise
Reference
Auditing
Monitoring using Prometheus
S3 Gateway API
Security
Access Control Lists (ACLs)
Authentication
Login to lakeFS with AWS IAM Roles
Presigned URL
Remote Authenticator
Role-Based Access Control (RBAC)
Short-lived token (STS like) Authentication for lakeFS
Single Sign On (SSO)
Spark Client
lakeFS API
lakeFS Server Configuration
lakectl (lakeFS command-line tool)
The lakeFS Project
Contributing to lakeFS
Documentation
Callouts
Migrating to 1.0
Docs
Blog
Community
GitHub
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Understanding lakeFS
Data Lifecycle Management
Data Lifecycle Management in lakeFS
lakeFS provides full support for Data Lifecycle Management through all stages:
In Test
During Deployment
In Production
