Fundamental 5단계 4시간 크레딧 7개
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.
기본 요건:
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.Quest Outline
BigQuery 및 Cloud SQL용 SQL 소개
이 실습에서는 기본적인 SQL 절을 학습하고 BigQuery 및 Cloud SQL에서 구조화된 쿼리를 실행하는 연습을 진행합니다.
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.
Data Catalog: Qwik Start
In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.
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.
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.
지금 등록
배지 획득에 대한 진행 상황을 추적하려면 이 퀘스트에 등록하세요.
