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Serverless Data Analysis with Google BigQuery and Cloud Dataflow, Google Cloud

Оценки: 2,066
Рецензии: 210

Об этом курсе

***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.*** This 1-week, accelerated on-demand course builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to carry out no-ops data warehousing, analysis and pipeline processing. Prerequisites: • Google Cloud Platform Big Data and Machine Learning Fundamentals • Experience using a SQL-like query language to analyze data • Knowledge of either Python or Java SPECIALIZATION COMPLETION CHALLENGE As if learning new skills wasn’t enough of an incentive, we're excited to announce a special completion challenge for 'Data Engineering on Google Cloud Platform’ specialization. Here’s how it works: Our completion challenge runs through 11:59pm PT May 5, 2019. Complete any course in this Specialization including this one, anytime in this period and we'll send you 30 Qwiklabs credits for each course completed (upto $150 value given there are 5 courses in the specialization). You can use these credits to take additional labs and earn badges, which you can then add to your resume and social profiles. Your challenge awaits – begin learning on Coursera today! Google Account Notes: • Google services are currently unavailable in China....

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автор: EL

Dec 12, 2018

The combination of Java and python is sometimes a bit confusing. Maybe it would be better to split the course in a java and a python version so all the Beam concepts are taught in a single language.

автор: MH

Jun 04, 2018

Nice course. Needed options for python codes in the end of the course. In the beginning you had options to look at both python and java, but this were not the case in the later stages.

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Рецензии: 208

автор: BOKOVE Ezekias

Apr 22, 2019

J'ai appris beaucoup de choses sur la manipulation des données représentées dans des colonnes et des flux de données avec les outils tel que : GCS, BigQuery, SQL, Python, Java et Dataflow.

автор: Hari Donthi

Apr 19, 2019

The labs were mostly cop/paste. It'll be good to have some actual exercises

автор: Ahmed Tealeb

Apr 13, 2019

Amazing :)

автор: Waqas Khalid Obeidy

Apr 12, 2019

Learnt a lot.

автор: Joose Rajamäki

Apr 11, 2019

The mix of Java and Python is a bit weird. There was some repetition in the labs. Otherwise nice resource to learn Apache Beam and BigQuery.

автор: Eduardo Fuertes de Oliveira

Apr 10, 2019


автор: Paripol Toopiroh

Apr 08, 2019

Nice course

автор: Thomas Vidalis

Apr 07, 2019

Very effective way of learning BigQuery and DataFlow and an Intro to code.

PS, thanks Lak !

автор: Abhishek Mengi

Mar 30, 2019

I have gained new insight after doing third course with Google Cloud Platform.

автор: Mahamat Nour Ali Mai

Mar 25, 2019

awesome course