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Building Batch Data Pipelines on GCP に戻る

Google Cloud による Building Batch Data Pipelines on GCP の受講者のレビューおよびフィードバック

4.5
1,453件の評価
181件のレビュー

コースについて

Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud for data transformation including BigQuery, executing Spark on Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud using Qwiklabs....

人気のレビュー

UB
2020年5月27日

A great course to help understand the various wonderful options Google Cloud has to offer to move on-premise Hadoop workload to Google Cloud Platform to leverage scalability of clusters.

AD
2020年7月16日

Great course learning what it is the big advantages of using GCP for data given they have big implementations and with better performance of what it is today in on premises scenarios

フィルター:

Building Batch Data Pipelines on GCP: 126 - 150 / 182 レビュー

by Ajinkya U

2020年5月23日

The course was good. Learned about data pipeline infrastructure.

Feedback: It appeared a bit fast in the second week with the need for more explanation for the concepts and designing labs based on those concepts.

Thank you. :)

by Heidi S

2020年9月13日

The pipeline building portion assumes in part that the learner has previous experience with programming. Further break down of the Python pipeline builds would be helpful.

by Deepa R

2020年5月20日

takes time understand , video makes little bore but in practice to enjoy doing but try to mention required time for excuetion or waiting time to task to executeto ece

by Ireneusz P

2020年11月10日

Interesting topics, but some of the labs are a waste of time (1 minute of hands-on experience, 30 minutes of provisioning resources and pipeline execution).

by Christian U

2020年7月19日

Good, I think pipelines need to have more labs related to some necessities in the industry, such as connect them to other external sources outside GCP

by ESTEBAN D R

2020年5月23日

Some parts of the course where not explained in full detail, especially some qwuick labs where questions were not tested or even provided with answers

by Ibrahim M

2021年1月14日

very good as a start, needs more practical on some topics like the last ones, and I had a bug with composer lab, but the over all is fine.

by Ismi Y

2020年5月14日

This course includes new services not much mentioned in the previous course. But, proportion of the module is not balanced.

by Ajinkya S S

2020年4月19日

Good introduction to pipelines building in GCP, Starting labs need to be in more detail. Other than that very good course.

by Charles C

2020年6月22日

Most was very good and kept my interest. One of the latter labs was not working and kept erroring out.

by Ramakrishna R A

2020年5月4日

Good intro to the pipelines for batch processing and quite a few hands on labs.

by Brook G

2021年11月11日

i​n depth and time demanding but well worth it and really well structured

by Victor L P B

2021年6月2日

I missed more hands-on experience with dataflow data pipelines creation.

by Eduardo H

2020年10月6日

This course requires knowledge of Java, Python and technology in general

by Carlos M F

2020年11月17日

Buen curso para seguir avanzando en el conocimiento de Big Data / GCP

by Min M Z

2020年7月5日

Conceptual understanding of data fusion, data flow and data proc.

by Guilherme L

2020年5月30日

The videos ware great, however te labs have a lack of information

by Friscian V C

2020年4月26日

better labs would be nice. more detailed, not so many copy paste.

by Ishwar C

2020年5月6日

The dataflow part was not well explained, especially the labs.

by Etienne M

2020年4月3日

The course is very useful, but sometimes the labs were strong.

by RK

2020年2月2日

Decent intro to data pipelines in GCP

by Akshay T

2021年3月8日

Covered lot of topics and services!

by Youcef B

2020年5月10日

it's important to rerun this cours

by David O

2021年2月23日

Good overview of the topic.

by Francisco M

2020年10月12日

Very Good!