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.
This course is part of the From Data to Insights with Google Cloud Specialization
Achieving Advanced Insights with BigQuery
About this Course
What you will learn
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.
Skills you will gain
- Google Cloud Platform
- Cloud Computing
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Syllabus - What you will learn from this course
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.
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.
Summary of the course ley learning points
- 5 stars75.30%
- 4 stars20.98%
- 3 stars3.08%
- 2 stars0.46%
- 1 star0.15%
TOP REVIEWS FROM ACHIEVING ADVANCED INSIGHTS WITH BIGQUERY
Cloud Datalab, BigQuery and Data studio are pretty impressive as they could all be use to help with marketing datasets and analytics. Now forward we go!
I learned lots about the structs and arrays and how it could be used to improve performance by creating parent child relationships instead of doing expensive joins
Absolutely important topics such as handling nested fields, query optimization techniques and advanced functions are covered. Excellent content!
This course will help to uncover BigQuery's underlying data storage system and how to take advantage of it in order to write more efficient query statements.
About the From Data to Insights with Google Cloud Specialization
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course!
This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: ● 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 Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
Frequently Asked Questions
Can I preview a course before enrolling?
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
What will I get when I enroll?
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
When will I receive my Course Certificate?
If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.
Why can’t I audit this course?
This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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Last Updated: September 1, 2015
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