Achieving Advanced Insights with BigQuery

Google Cloud via Coursera

Coursera based on 1,329 ratings

Likes

Overview

Achieving Advanced Insights with BigQuery is an in-depth course designed for data professionals who want to unlock the full potential of Google Cloud’s powerful BigQuery data warehouse. This course focuses on advanced techniques for querying, analyzing, and optimizing large-scale datasets to drive impactful business insights. You’ll begin by mastering complex SQL queries, including window functions, subqueries, and joins tailored for BigQuery’s unique environment. The course covers advanced data transformation, partitioning, clustering, and performance tuning strategies to handle massive datasets efficiently. You’ll also...

Syllabus

Introduction

Overview of what you will learn in this course

Advanced Functions and Clauses

Deepen your knowledge of SQL on BigQuery by learning about more advanced functions like statistical approximations, analytical window queries, user-defined functions, and WITH clauses.

Schema Design and Nested Data Structures

Walkthrough the evolution of how traditional databases handle dataset scale and compare how BigQuery was developed to address scaling limitations. Deep dive into nested and repeated fields which are a key part of denormalized BigQuery data structures.

Optimizing for Performance

Learn the fundamental pieces of work that impact BigQuery performance and how to optimize your queries for speed.

Advanced Insights with Vertex AI Workbench

Introducing Vertex AI Workbench -- a key tool in the Data Scientist toolkit -- which enables analysts to collaborate through the use of scalable cloud notebooks.

Data Access

Securing and sharing your BigQuery datasets is critical for any organization. Learn what Google Cloud and BigQuery tools are available to you to permission control and share your data.