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Data Catalog Fundamentals

Fundamental 5 个步骤 4 个小时 7 个积分

Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.

预备知识:

No prerequisites are required, but comfort with BigQuery will be helpful. Students who have completed the BigQuery For Data Analysis Quest will obtain a good conceptual understanding of BigQuery before starting this Quest.

Quest Outline

实验

适用于 BigQuery 和 Cloud SQL 的 SQL 简介

在本实验中,您将学习 SQL 的基本子句,并动手练习在 BigQuery 和 Cloud SQL 中运行结构化查询。

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实验

Using BigQuery in the Google Cloud Console

This lab shows you how to query public tables and load sample data into BigQuery using the GCP Console. Watch the following short video Get Meaningful Insights with Google BigQuery.

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实验

Data Catalog: Qwik Start

In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.

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实验

Exploring Dataset Metadata Between Projects with Data Catalog

In this lab, you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.

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实验

Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors

In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.

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