arrow_back

BigQuery for Marketing Analysts

share

BigQuery for Marketing Analysts

7 个小时 Fundamental
Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.

完成此课程中的所有活动即可赢取一枚徽章。完成挑战任务、游戏和课程即可收集 Qwiklabs 中的徽章。集齐所有徽章,彰显您的技能!

  • 实验

    Exploring Your Ecommerce Dataset with SQL in Google BigQuery

    In this lab, you learn to use BigQuery to find data, query the data-to-insights public dataset, and write and execute queries.

  • 实验

    Explore and Create Reports with Data Studio

    In this lab, you learn how to connect Google Data Studio to Google BigQuery data tables, create charts, and explore the relationships between dimensions and measures.

  • 实验

    Creating Permanent Tables and Access-Controlled Views in BigQuery

    This lab focuses on how to create new permanent reporting tables and logical reviews from an existing ecommerce dataset.

  • 实验

    Ingesting New Datasets into BigQuery

    This lab focuses on how to ingest new datasets into tables inside of BigQuery.

  • 实验

    How to Build a BI Dashboard Using Google Data Studio and BigQuery

    Learn how to build a BI dashboard with Data Studio as the front end, powered by BigQuery on the back end

  • 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
    It is recommended but not required that students have a familiarity with data and spreadsheets.