The third course in this course series is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps. We will cover the internal architecture of BigQuery (column-based sharded storage) and advanced SQL topics like nested and repeated fields through the use of Arrays and Structs. Lastly we will dive into optimizing your queries for performance and how you can secure your data through authorized views. After completing this course, enroll in the Applying Machine Learning to your Data with Google Cloud course.
BigQuery versus traditional relational data architecture
Loading...
Skills You'll Learn
Bigquery, Google Cloud Platform, Cloud Computing, SQL
Reviews
4.7 (1,319 ratings)
- 5 stars75.20%
- 4 stars20.77%
- 3 stars3.26%
- 2 stars0.53%
- 1 star0.22%
LM
Aug 10, 2018
Excellent course; I only wish there were a much longer and more robust lab on optimizing query performance, after all the tips we learned in the corresponding lessons.
TW
Nov 30, 2017
Lots of in-depth material covered in this course, including nesting of data structures. Also provides high-level introductions to Google Data Studio and Cloud DataLab.
From the lesson
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.
Taught By
Google Cloud Training