Google BigQuery is a serverless, highly scalable and fully managed database service that allows you to handle and query a big amount of data in a very short time. BigQuery is designed to make data analysts more productive with unmatched price-performance. Because there is no infrastructure to manage, you can focus on uncovering meaningful insights using familiar SQL without the need for a database administrator. BigQuery is compatible with a lot of GCP's services, such as Cloud Datalab, that allow the user to represents data in an innovative way. This lab will show you the basic concepts of BigQuery and will allow you to handle data and query them in a real GCP environment.
Learning Objectives
Upon completion of this lab you will be able to:
- Understand the key concepts of Google BigQuery
- Explain what Datasets and Tables represent
- Perform queries on data inside Google BigQuery
Intended Audience
This lab is intended for:
- Google Cloud Associate Cloud Engineer (ACE) certification candidates
- Individuals that are familiar with SQL and databases who want to deep know big data solutions
- Solutions architects who want to build smart, efficient and responsive data infrastructures
Prerequisites
Basic knowledge of SQL and structured queries is a plus but it is not required.
Updates
October 18th, 2022 - Updated screenshots and instructions due syntax error and updated UI
May 06, 2022 - Updated instructions and screenshots for accuracy
March 14th, 2022 - Updated lab screenshots to match the current environment
Stefano studies Computer Science and is passionate about technology. He loves working with Cloud services and learning all the best practices for them. Google Cloud Platform and Amazon Web Services are the cloud providers he prefers. He is a Google Cloud Certified Associate Cloud Engineer. Node.js is the programming language he always uses to code. When he's not involved in studying or working, Stefano loves riding his motorbike and exploring new places.