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学生对 Google 云端平台 提供的 Modernizing Data Lakes and Data Warehouses with Google Cloud 的评价和反馈

4.7
2,427 个评分
301 条评论

课程概述

The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course....

热门审阅

AA
Feb 14, 2020

Good introduction and overview of the field of data engineering, data lakes and modern data warehouses and a hands-on walkthrough of all the technologies related to solving these problems on GCP.

FM
Apr 16, 2020

A better understanding of BigQuery starts here. A vital resource for consultants, data analysts, and product managers, and an important reference source for engineers and data scientists.

筛选依据:

201 - Modernizing Data Lakes and Data Warehouses with Google Cloud 的 225 个评论(共 307 个)

创建者 Muhammad Z H

Jun 13, 2020

Thanks

创建者 Rogelio E R C

Apr 21, 2020

great!

创建者 Rachmat H

Aug 31, 2021

cools

创建者 Jean C F

Jun 14, 2021

Otimo

创建者 Lyndon A

Oct 15, 2020

Great

创建者 Julian D O H

Aug 2, 2020

Nice!

创建者 Saptarshi S

Jun 15, 2020

Great

创建者 Antony C

May 6, 2020

Great

创建者 J J

Apr 24, 2020

good!

创建者 Giovanni D P

Apr 11, 2020

ok ok

创建者 Gerardo F V

Nov 23, 2020

good

创建者 PALLAVI M

Nov 4, 2020

good

创建者 Sangwoo K

Oct 2, 2020

good

创建者 Gadamsetti V V N

Jul 10, 2020

good

创建者 Ratan K

Jul 9, 2020

good

创建者 Richa G

May 3, 2020

good

创建者 Hilmi A A

Jan 25, 2020

qwe

创建者 Krystian O

Sep 3, 2020

Very condensed course. A lot of stuff to go through which is great but links to code, refereed documentation etc would be very helpful, especially when only mentioned in a video and not shown. At some points its possible to pause the video to note down where reference material can be found.

创建者 Sean D

Jul 12, 2021

Good course. To make Great: 1) get some Intern (or better AI) to correct text, punctuation, etc., displayed below recordings. 2) allow video to be on separate screen, from text (without having to download text files). It would be nice to view video/graphics, while following the text.

创建者 Xavier A A

Apr 29, 2020

Evan & Lak's lectures are very good, it went so seamless, but listening to Julie's lectures is hard work, she is rapid, I needed subtitles to comprehend the speech. Other opinions might be different, but; these are genuine ones from me, please note that there is no bias in my mind.

创建者 Pola, R (

Apr 20, 2021

Provides a broad over view of GCP tools to build data pipelines, tools to build data lake and data warehouse and reference architecture to use. It helped me understand the GCP platform better and provided hands-on exercises which are very helpful.

创建者 Shadab B

Aug 10, 2021

Excellent course for beginner as I was not aware of the Data Lake and Warehouse concepts.Apart from that the course really explained in an efficient manner the concepts of Nesting , Partioning and clustering for Big Data.

创建者 Vishal P

May 7, 2020

Really Interesting. If possible add one migration example from existing data warehouse for one small subject area to BigQuery . It would give more comparable insight on power, design approach on BigQuery

创建者 Alphanso W

Apr 16, 2020

Good course but perhaps to make things stick, we would have used one project and built upon it. I felt like I was being tossed all over the place in terms of subjects and topics.

创建者 Walter H

Jan 14, 2022

bit simple for experienced db users, but the 2nd week does a very useful deep dive into advanced GBQ features like how to properly handle nested fields.