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Data Catalog Fundamentals

date_range 4 Stunden show_chart Fundamental universal_currency_alt 7 Guthabenpunkte

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.

Melden Sie sich für die Aufgabenreihe an, um zu sehen, wie Sie Schritt für Schritt Ihr Abzeichen erreichen.
Enroll in this on-demand quest
  • Lab

    Einführung in SQL für BigQuery und Cloud SQL

    In diesem Lab lernen Sie grundlegende SQL-Klauseln kennen und führen praktische Übungen zu strukturierten Abfragen in BigQuery und Cloud SQL aus.

  • Lab

    BigQuery-Webbenutzeroberfläche verwenden

    In diesem Lab erfahren Sie, wie Sie über die Webbenutzeroberfläche in BigQuery öffentliche Tabellen abfragen und Beispieldaten laden. Sehen Sie sich dazu das kurze Video Get Meaningful Insights with Google BigQuery an.

  • Lab

    Data Catalog: Qwik Start

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

  • Lab

    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.

  • Lab

    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.