GCP BigQuery Tutorial for Beginners

What is BigQuery and why should you learn it? 🤔

BigQuery is a serverless data warehouse on Google Cloud Platform (GCP). BigQuery is a cloud database that easily handles petabytes of data, helping companies store and query it. These advantages allow you to upload massive amounts of data to BigQuery machine learning to better understand it. BigQuery also allows you to easily retrieve any data you need from anywhere. Using various plugins, including Google Drive, you can easily import external datasets into BigQuery tables. This scalability is driving BigQuery's continued growth in popularity.

Anyone familiar with SQL will find BigQuery easy to learn . Its advantages include fast data processing and scalability. It can be used for complex data analysis and integration with other Google Cloud services, making it ideal for Google Analytics 360.

In this course, you'll learn how to explore data, tables, and datasets. Use BigQuery hints and formatting help to write efficient queries. Using the SELECT statement, you'll write SQL queries that answer important questions about your data, using the FROM, WHERE, GROUP BY, HAVING, and ORDER BY clauses. If you're unfamiliar with working with multiple tables and using joins, don't worry. You'll learn everything in this beginner's BigQuery course.

BigQuery's serverless architecture allows you to answer your organization's biggest questions without managing infrastructure, using languages like SQL and Python. BigQuery provides a uniform way to handle both structured and unstructured data and supports open table formats like Apache Iceberg, Delta, and Hudi.

By completing this course, you will gain a lot of confidence in SQL 😃

What are the unique features of this course for beginners using GCP BigQuery?

📌 The course will be conducted directly in the BigQuery environment.

📌 Even those without SQL experience can easily follow the lecture content.

📌 We focus more on practice than theory, so we write SQL line by line and include additional explanations.

📌 The instructor's know-how and explanations, with over 10 years of SQL experience, are easy to understand.

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After class

• The BigQuery Console environment is becoming more convenient.

• You can become more proficient in SQL.

• BigQuery makes data analysis easier.

• Preparing for the Google Cloud Data Engineer certification becomes easier.

Learn about these things.

Instructor Introduction

• Tempus Inc - Senior Software Engineer (2019 ~ Present)

  • Data preprocessing development using BigQuery & Python BigQuery SDK & DBT (Data Build Tool)

  • Implement PHI data masking & automate data legal review process

• CarVi Inc - Data Scientist ( 2017 - 2019)

  • Autonomous driving data analysis

  • Real-time driving data collection and analysis, lane departure and vehicle collision detection system implementation

    
    

• Inflearn Instructor - AWS Beginner Course ( Lecture Link )

• Inflearn Instructor - AWS Intermediate-Advanced Course ( Lecture Link )

• Inflearn Instructor - AWS Practical Course ( Lecture Link )

• Inflearn Instructor - Python Beginner Course ( Lecture Link )

• Author - AWS for Business ( Book Link )

  
  

Things to note before taking the course