Build and Optimize Data Warehouses with BigQuery

date_range 7 hours show_chart Fundamental universal_currency_alt 34 Credits

Earn a skill badge by completing the Build and Optimize Data Warehouses with BigQuery quest, where you will learn how to transform your data warehouse using BigQuery, including how to: 1. Use a command line interface to query and load sample data. 2. Create new reporting tables using SQL, JOINS, and UNIONs. 3. Create dataset partitions that will reduce cost and improve query performance. 4. Create and troubleshoot joins. 5. Load, query, and un-nest semi-structured datasets. 6. Use Data Catalog.

A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.

Enroll in this quest to track your progress toward earning a badge.
Enroll in this on-demand quest
  • Lab

    BigQuery: Qwik Start - Komut Satırı

    Bu uygulamalı laboratuvarda, herkese açık tabloları nasıl sorgulayacağınız ve örnek verileri Komut Satırı Arayüzünü kullanarak nasıl BigQuery'ye yükleyeceğiniz gösterilmektedir. Google BigQuery ile Anlamlı Analizler Elde Etme ve BigQuery: Qwik Start - Qwiklabs Önizlemesi başlıklı kısa videoları izleyin.

  • Lab

    Creating a Data Warehouse Through Joins and Unions

    This lab focuses on how to create new reporting tables using SQL JOINS and UNIONs.

  • Lab

    Creating Date-Partitioned Tables in BigQuery

    This lab focuses on how to query partitioned datasets and how to create your own dataset partitions to improve query performance, which reduces cost.

  • Lab

    Troubleshooting and Solving Data Join Pitfalls

    This lab focuses on how to reverse-engineer the relationships between data tables and the pitfalls to avoid when joining them together.

  • Lab

    Working with JSON, Arrays, and Structs in BigQuery

    In this lab you will work with semi-structured data (ingesting JSON, Array data types) inside of BigQuery. You will practice loading, querying, troubleshooting, and unnesting various semi-structured datasets.

  • 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.

  • Lab

    Build and Optimize Data Warehouses with BigQuery: Challenge Lab

    This challenge labs tests your skills in building and optimizing your data warehouse using BigQuery

  • info
    Quest Info
    Prior to enrolling in this skill badge quest, it is recommended that you have a basic knowledge of SQL.