Advancing Spark - External Tables with Unity Catalog
A very common pattern is for companies to have many different lakes, whether as part of a mesh, or the simple realities of large companies. But with Unity Catalog expecting a single lake for each metastore, how do we manage access to other cloud stores? In this video, Simon looks at the setup of storage credentials and managed identities, followed by the creation of external, unmanaged tables. The primary steps for external tables can be found here: https://docs.microsoft.com/en-us/azur... The managed identity setup steps can be found here: https://docs.microsoft.com/en-gb/azur... As always, if you're setting up a Lakehouse and need a helping hand, get in touch with Advancing Analytics

▶︎
Advancing Spark - Azure Databricks News July 2022

▶︎
Databricks Unity Catalog: Storage Credentials and External Locations

▶︎
AWS Tutorials - Using Amazon EMR with AWS Glue Catalog

▶︎
Advancing Spark - Understanding the Unity Catalog Permission Model

▶︎
Advancing Spark - Tracking Lineage with Unity Catalog

▶︎
Impossible Places | World's Most Dangerous Roads No One Dares to Cross | 4K Documentary

▶︎
Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!

▶︎
Advancing Spark - Provisioning Databricks Users through SCIM

▶︎
Databricks Unity Catalog: A Technical Overview

▶︎
Boleros de Medianoche – Ecos de La Habana

▶︎
Advancing Spark - Delta Deletion Vectors

▶︎
12 Schemas with External Location in Unity Catalog | Managed Table data Location in Unity Catalog

▶︎
Advancing Spark - Delta Sharing

▶︎
13 Managed & External Tables in Unity Catalog vs Legacy Hive Metastore | UNDROP Tables in Databricks

▶︎
Monitoring Databricks with System Tables

▶︎
Deep Work Music for Mental Clarity | Coding, Study & Work | Deep Flow | CEO MODE

▶︎
Advancing Spark - Working with Hive

▶︎
Advancing Spark - Automated Data Quality with Lakehouse Monitoring

▶︎
Why Thorium Nuclear Power Will Change The World

▶︎
