Achieving Advanced Insights with BigQuery
Achieving Advanced Insights with BigQuery
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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.
Course Info
Objectives
- Discuss the more advanced functions of SQL on BigQuery.
- Compare how BigQuery was developed to address scaling limitations in the context of how traditional databases have evolved to handle dataset scale.
- Identify the fundamental pieces of work that impact BigQuery performance and how to optimize your queries for speed.
- Identify what Google Cloud and BigQuery tools are available to you to permission-control and share your data.
Prerequisites
Basic Knowledge of SQL
Audience
Data Analysts, Business Analysts, Business Intelligence professionals
Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud
Available languages
English, 日本語, español (Latinoamérica), français וportuguês (Brasil)