Build and Optimize Data Warehouses with BigQuery
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.배지 획득에 대한 진행 상황을 추적하려면 이 퀘스트에 등록하세요.
This lab focuses on how to create new reporting tables using SQL JOINS and UNIONs.
This lab focuses on how to query partitioned datasets and how to create your own dataset partitions to improve query performance, which reduces cost.
This lab focuses on how to reverse-engineer the relationships between data tables and the pitfalls to avoid when joining them together.
이 실습에서는 BigQuery 내부의 반구조화된 데이터(수집 JSON, 배열 데이터 유형)를 다루고, 다양한 반구조화된 데이터세트의 로드, 쿼리, 문제해결 및 중첩 해제를 연습합니다.
In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.
This challenge labs tests your skills in building and optimizing your data warehouse using BigQuery