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Achieving Advanced Insights with BigQuery, Google Cloud

Оценки: 269
Рецензии: 34

Об этом курсе

The third course in this specialization 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. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: <<<...

Лучшие рецензии

автор: KF

Sep 18, 2018

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.

автор: TW

Dec 01, 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.

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Рецензии: 34

автор: Sirisha Pasumarthy

Jan 26, 2019

I am excited with Bigquery Advanced concepts and giving me a great learning.

автор: Michael To

Jan 08, 2019

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

автор: Fernando Escobar

Dec 04, 2018

Really helpful with enough theory background and practical exercises

автор: Oleg Zagorulko

Nov 20, 2018

nice course

автор: Arun Biji Mathew

Nov 18, 2018

Good course, more detailed/complex but practical scenarios in data warehousing space would be appreciated.

автор: Nguyen Vu Trung Hieu

Nov 13, 2018

Good but lack of sql example and sql questions

автор: Sanket Mehta

Oct 19, 2018

The course was fun with learning. One suggestion to improve the video player somewhat.

автор: Aditya Shivam

Oct 15, 2018


автор: Rommel John Panal

Oct 11, 2018

Some useful insights here that I can immediately apply to my work in BigQuery.

автор: Akshaya

Oct 02, 2018

A lab on notebook would have been nice.