Achieving Advanced Insights with BigQuery

Introduction
-Welcome to the third course in the Data Insights specialization. Let's review what material we will cover with advanced BigQuery functions and architecture.

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.

More Visualization with Google Data Studio
-Dive deeper into advanced visualization topics like dashboard calculated fields, filters, multi-page reports, and dashboard cache.

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

Advanced Insights with Cloud AI Platform
-Introducing Cloud AI Platform -- 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 Platform and BigQuery tools are available to you to permission control and share your data.

Summary
-Congratulations! You have made it to the end. Let's recap what we have covered so far.