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.
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ACHIEVING ADVANCED INSIGHTS WITH BIGQUERY의 최상위 리뷰
for me was not easy to digest but it was so interesting but the voice of the host makes me sleep cause is so monotone
Useful practical course, especially about performance optimization. Window functions have many options, it would be nice to add window size description with practical examples or links to them.
Good overview of many more-advanced features of BigQuery as well as intros to DataStudio and DataLab. However the practice labs were a bit too easy; more in-depth practice would have been useful.
Everything was very good except for the sound problem. Your sound volume was so poor. You need to talk more loudly.
From Data to Insights with Google Cloud 특화 과정 정보
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 <<<
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Last Updated: September 1, 2015
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