Introduction to Google Cloud BigQuery

Unlock the Power of BigQuery: A Comprehensive Guide to Data Warehousing & Analytics

Ready to harness the power of BigQuery? This course provides a fast-track to mastering this leading data warehouse service, designed for efficiently working with petabytes of data. Whether you're new to data analytics or have a basic understanding of database concepts like tables, you'll quickly gain the skills to query and analyze data effectively.

This course takes a practical, hands-on approach, starting with the fundamentals. We'll cover:

• Getting Started with Google Cloud: Learn how to sign up for Google Cloud and navigate the BigQuery graphical user interface (GUI).
• SQL for BigQuery: Master SQL specifically tailored for BigQuery, the core language for data manipulation and analysis.
• Data Loading: Discover how to load data into BigQuery from various sources, including Cloud Storage, Google's scalable object storage.
• Command Line Interface (CLI): Utilize the bq command line utility for querying data and managing datasets directly from your terminal.
• Python Integration: Learn to leverage BigQuery client libraries in Python to automate queries and data processing within your scripts. No Python installation required – we'll use Google Colab, a free online Python environment.
• Data Exploration & Analysis: Explore data, tables, and datasets within BigQuery. Write efficient queries using BigQuery hints and formatting for improved readability.
• Advanced SQL Techniques: Become proficient with SELECT statements, including FROM, WHERE, GROUP BY, HAVING, and ORDER BY clauses to extract meaningful insights.
• Joining Tables: Learn how to work with multiple tables and perform joins to combine data from different sources.
• Performance Optimization: Utilize Saved Queries, Data Exporting, and Execution Details to optimize query performance and reduce costs.

BigQuery vs. Other Databases: Understand the fundamental differences between BigQuery and traditional relational databases like Oracle, SQL Server, and PostgreSQL. Learn how BigQuery's architecture impacts data modeling and query design.

Course Features:

• Hands-on Exercises: Reinforce your learning through quizzes and assignments that require you to write queries and analyze data.
• Expert Instruction: Learn from Dan Sullivan, a Principal Data Architect, author, and expert in Google Cloud, data modeling, and data science. Dan is the author of the Official Google Cloud Professional Data Engineer Study Guide and has extensive experience teaching on platforms like Udemy and LinkedIn Learning.

This course is ideal for anyone looking to develop skills in data analytics, data warehousing, and BigQuery to gain valuable insights from their data.