GSP789

Overview

Data Catalog is a fully managed, scalable metadata management service in Google Cloud's Data Analytics family of products.

Managing data assets can be time consuming and expensive without the right tools. Data Catalog provides a centralized place where organizations can find, curate and describe their data assets.

Using Data Catalog

There are two main ways you interact with Data Catalog:

• Searching for data assets that you have access to

• Tagging assets with metadata

What you will learn

In this lab, you will learn how to:

• Explore a simulated enterprise environment of 2 projects, 2 datasets, and 2 user accounts.

• Navigate through a BigQuery table manually in the UI.

• Run queries to better understand sensitive data columns that we want to tag later.

• Use Data Catalog to search for existing datasets across projects.

• Use Data Catalog tag templates to tag assets with rich metadata.

Why is this useful?

• View data assets across multiple projects in your organization.

• Create re-usable tag templates to add rich data descriptions for your teams.

• Quickly highlight which datasets have PII (Personally Identifiable Information).

• Metadata Access control is inherited based on logged in user (no separate Data Catalog ACLs needed).

Prerequisites

Very Important: Before starting this lab, log out of your personal or corporate gmail account, or run this lab in Incognito. This prevents sign-in confusion while the lab is running.