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Data Catalog Fundamentals

date_range 4 个小时 show_chart Fundamental universal_currency_alt 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.

注册该挑战任务,系统会全程跟踪进度,直到您赢得徽章为止。
Enroll in this on-demand quest
  • 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。

  • 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.

  • 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.

  • 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.

  • 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.

  • info
    Quest Info
    Prerequisites
    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.