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Avis et commentaires pour l'étudiant pour Achieving Advanced Insights with BigQuery par Google Cloud

4.7
408 notes
45 avis

À propos du cours

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: https://qwiklabs.com/terms_of_service <<<...

Meilleurs avis

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.

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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1 - 25 sur 46 Examens pour Achieving Advanced Insights with BigQuery

par Fernando E

Dec 04, 2018

Really helpful with enough theory background and practical exercises

par Ridhima S

Mar 25, 2019

Absolutely important topics such as handling nested fields, query optimization techniques and advanced functions are covered. Excellent content!

par Ngo D V

Mar 30, 2019

good for Data Analyst

par Michael T

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

par Juan D O

Jul 13, 2018

Very interesting and nice to follow

par Jose L C V

Aug 26, 2018

Muy buen curso

par LIJUN L

Aug 10, 2018

Super GREAT job Evan! This is the most valuable BigQuery courses I've ever learned!

par Lawrence M

Aug 11, 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.

par Rommel J P

Oct 11, 2018

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

par Nguyen V T H

Nov 13, 2018

Good but lack of sql example and sql questions

par Oleg Z

Nov 20, 2018

nice course

par Ekta M

Aug 21, 2018

good

par José R P

Feb 02, 2018

Greath

par Harold L M M

Feb 17, 2018

Excellent course on BigQuery, Dataprep, DataStudio and Dataset Secure Access topics. Hoped to have more on Datalab and Bigquery, and also more difficult labs, but it's ok.

Overall this was a great course with great material.

Thanks!

par michal.krasowski@gmail.com

Jan 18, 2018

Awesome. This part of specialization is worth time and money spent.

par Kaushik D

May 27, 2018

Course provides a high level understanding of what can be achieved through GCP.

par Scott M

Mar 11, 2018

Great course in understanding more advanced topics in BQ

par Timothy W

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.

par Christopher C

Feb 13, 2018

Very helpful to know advanced SQL querying even if I don't really have to do it myself.

par Kristina F

Jan 22, 2018

Very informative and valuable learning. Enjoyed both the Google specific content as well as the general data analyst content.

par Izzy L

Dec 04, 2017

Fantastic course with great focus on advanced subjects.

par Rian P

Mar 07, 2018

Thanks for the course, the lab practices are very useful, would be great if there are any project assignments

par Lorenço G A

Jun 03, 2018

Excellent course, material and labs. Congrats for Google professionals and Coursera staff. Keep rockking, cheers!

par Yaakov M

Jan 25, 2018

Great insights!

par Konstantin F

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.