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164 条结果

  1. 实验 精选

    BigQuery Soccer Data Ingestion

    Get started with sports data science by importing soccer data on matches, teams, players, and match events into BigQuery tables.

  2. 实验 精选

    BigQuery Soccer Data Analysis

    Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables.

  3. 实验 精选

    Navigate BigQuery

    Explore public datasets

  4. 实验 精选

    Data Publishing on BigQuery using Authorized Views for Data Sharing Partners

    In this lab you will learn how Authorized Views in BigQuery can be used to share customer specific data from a Data Sharing Partner.

  5. 实验 精选

    Manage a partitioned table in BigQuery

    Manage a partitioned table and use filters to reduce data examined in BigQuery

  6. 实验 精选

    Explore flat and nested data types in BigQuery

    Explore flat and nested data types in BigQuery and learn how to use these data types effectively in queries

  7. 课程 精选

    BigQuery Basics for Data Analysts

    Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query teraby…

  8. 课程 精选

    Analyze BigQuery Data in Connected Sheets

    With Connected Sheets, you can access, analyze, visualize, and share billions of rows of BigQuery data from your Google Sheets spreadsheet. In this skill badge you will learn how use Google Sheets, BigQuery, and bring it all together with Connected Sheets.

  9. 实验 精选

    Perform Predictive Data Analysis in BigQuery: Challenge Lab

    This challenge lab tests the skills and knowledge gained from the labs in the Perform Predictive Data Analysis in BigQuery skill badge course.

  10. 实验 精选

    Exploring NCAA Data with BigQuery

    Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores from 1996. Watch How the NCAA is using Google Cloud to tap into decades of sports data.