Upgrading to Unity Catalog: A New Step to Strengthen Data and AI Governance
This is Johann from the Global Engineering Department of the GLB Division.
Hello everyone. Today, I will be discussing an essential tool for strengthening data and AI governance, the Unity Catalog. Specifically, I will focus on the process of upgrading to Unity Catalog. This article is the third part of a three-part blog series about Unity Catalog.
Upgrading to Unity Catalog: What Changes?
Upgrading to Unity Catalog is a crucial step in advancing data management and AI utilization. This upgrade makes the data migration process smoother and enables the use of appropriate architectural patterns.
Data Movement within Databricks: Why is it Important?
Data movement within Databricks plays a vital role in data management and AI utilization. A smooth data migration process improves data utilization efficiency and enhances AI performance.
Using the Right Architectural Patterns: What are the Benefits?
Using the right architectural patterns is indispensable for strengthening data and AI governance. By using appropriate architectural patterns, data management becomes easier, and AI performance improves. The process of upgrading to Unity Catalog is a crucial step in strengthening data and AI governance. Understanding and properly utilizing this process can further advance data management and AI utilization.
Data and AI Governance with Unity Catalog
By utilizing Unity Catalog, it is possible to efficiently carry out data and AI governance. From centralized data management to security measures and policy definition and enforcement, Unity Catalog covers all aspects of data management. I will explain the specific steps and their importance, from upgrading your workspace using Unity Catalog and creating registered data in the warehouse, to simplifying the process for enterprises to define and enforce policies across all data sources and services.
Summary
Upgrading to Unity Catalog is a crucial step in strengthening data and AI governance. The smoother data migration process and the ability to use appropriate architectural patterns further advance data management and AI utilization. By utilizing Unity Catalog, it is possible to efficiently carry out data and AI governance. In the next blog, I will explain in detail how to use Unity Catalog and its benefits. If you are interested in data and AI governance, please look forward to the next blog!
Conclusion
This content based on reports from members on site participating in DAIS sessions. During the DAIS period, articles related to the sessions will be posted on the special site below, so please take a look.
Translated by Johann
Thank you for your continued support!
