Data Lakes
Introduction to Data Lakes
Data Lake storage
Data Lake scale
Data Lake repair
Creating an AWS environment with a medium duty data lake using the CLI
Understanding Data Lake details
Accessing Data Lake services
Accessing a Data Lake cluster via SSH
Administering a Data Lake
Monitoring a Data Lake
Vertically scaling instance types
Retry a Data Lake
Upgrading Data Lake/Data Hub database
Database upgrade known limitations and troubleshooting
Installing Postgres 14 packages manually
Installing Postgres 11 packages manually
Data Lake upgrade
Data Lake upgrade support matrix
Before you begin
Upgrading a Data Lake
Upgrading a Data Lake manually via CLI
Recovering from failed upgrades
Performing manual Data Lake repair
Backup and restore for the Data Lake
Cross-version support for Data Lake backup and restore
Configuring and running Data Lake backups
Checking the status of a Data Lake backup
Troubleshooting Data Lake backup operations
Configuring and running Data Lake restore
Showing Data Lake restore status
Restoring to a RAZ Data Lake
Troubleshooting Data Lake restore operations
Data Lake Scaling
Checking that Atlas is up-to-date
Scaling the Data Lake through the CDP UI
Scaling the Data Lake through the CDP CLI
Scaling post-requisites
Recovering after a failed scaling operation
Refreshing CML governance pods
Managing certificates
Renewing private/host certificates on Data Lake and Data Hub clusters
Manually renewing public certificates for Data Lake and Data Hub clusters
Recipes
Writing recipes
Recipe and cluster template parameters
Example: Recipe with parameters
Register a recipe
Update a recipe
Managing recipes from CLI