Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Codeless Data Engineering in GCP: Beginner to Advanced

Step by step guide to building four data pipelines in Google Cloud using DataStream, Data Fusion, DataPrep, DataFlow etc
4.9
4.9/5
(7 reviews)
17 students
Created by

9.5

CourseMarks Score®

10.0

Freshness

10.0

Feedback

7.8

Content

Platform: Udemy
Video: 4h 37m
Language: English
Next start: On Demand

Top Google Cloud Professional Data Engineer courses:

Detailed Analysis

CourseMarks Score®

9.5 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

10.0 / 10
This course was last updated on 1/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

10.0 / 10
We analyzed factors such as the rating (4.9/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

7.8 / 10
Video Score: 8.3 / 10
The course includes 4h 37m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.5 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

In this course, we will be creating a data lake using Google Cloud Storage and bring data warehouse capabilites to the data lake to form the lakehouse architecture using Google BigQuery. We will be building four no code data pipelines using services such as DataStream, Dataflow, DataPrep, Pub/Sub, Data Fusion, Cloud Storage, BigQuery etc.
The course will follow a logical progression of a real world project implementation with hands on experience of setting up  a data lake,  creating data pipelines  for ingestion and transforming your data in preparation for analytics and reporting.

Chapter 1
•We will setup a project in Google Cloud
•Introduction to Google Cloud Storage
•Introduction to Google BigQuery

Chapter 2 – Data Pipeline 1
•We will create a cloud SQL database and populate with data before we start performing complex ETL jobs.
•Use DataStream Change Data Capture for streaming data from our Cloud SQL Database into our Data lake built with Cloud Storage
•Add a pub/sub notification to our bucket
•Create a Dataflow Pipeline for streaming jobs into BigQuery

Chapter 3 – Data Pipeline 2
•Introduce Google Data Fusion
•Author and monitor ETL jobs for tranforming our data and moving them  between different zone of our data lake
•We will explore the use of Wrangler in Data Fusion for profiling and understanding our data before we starting performing complex ETL jobs.
•Clean and normalise data
•Discover and govern data using metadata in Data Fusion

Chapter 4 – Data Pipeline 3
•Introduction to Google Pub/Sub
•Building a .Net application for publishing data to a Pub/Sub topic
•Building a realtime data pipeline for streaming messages to BigQuery

Chapter 5 – Data Pipeline 4
•Introduction to Cloud DataPrep
•Profile, Author and monitor ETL jobs for tranforming our data using DataPrep

You will learn

✓ How to build No Code/Codeless data pipelines in Google Cloud
✓ You will learn to build real-world data pipelines usings tools like Data Fusion, DataPrep and Dataflow
✓ You will learn to transform data using Data Fusion
✓ You will acquire good data engineering skills in Google Cloud
✓ Working with Big Query Data warehouse in Google Cloud

Requirements

• Basic understanding of cloud computing
• An active google account
• basic understanding of what a data lake and data warehouse are is essential but not required

This course is for

• Data Engineers
• Data Architects looking to architect data integration solutions in Google Cloud
• Data Scientist, Data Analyts and Database Administrators
• Data Scientist, Data Analyts and Database Administrators
• Anyone looking to start a career as an Google Cloud Data Engineer

How much does the Codeless Data Engineering in GCP: Beginner to Advanced course cost? Is it worth it?

The course costs $12.99. And currently there is a 48% discount on the original price of the course, which was $24.99. So you save $12 if you enroll the course now.

Does the Codeless Data Engineering in GCP: Beginner to Advanced course have a money back guarantee or refund policy?

YES, Codeless Data Engineering in GCP: Beginner to Advanced has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Codeless Data Engineering in GCP: Beginner to Advanced course, but there is a $12 discount from the original price ($24.99). So the current price is just $12.99.

Who is the instructor? Is Yomi Owoyemi a SCAM or a TRUSTED instructor?

Yomi Owoyemi has created 2 courses that got 17 reviews which are generally positive. Yomi Owoyemi has taught 84 students and received a 4.9 average review out of 17 reviews. Depending on the information available, Yomi Owoyemi is a TRUSTED instructor.
Technical Architect
Hi, I am a Technical Architect with over 10 years of industry and consulting exeprience in spearheading the management, design, development and implementation of large transformation projects in the cloud and on premise. I have experience working across a variety of industries including finance, technology, publishing and government ranging from SMEs to Fortune 500 companies.I am committed to establishing a warm, supportive, and inclusive learning experience to optimise student learningShow moreShow less

9.5

CourseMarks Score®

10.0

Freshness

10.0

Feedback

7.8

Content

Platform: Udemy
Video: 4h 37m
Language: English
Next start: On Demand

Students are also interested in

Review widget (for course creators):

Codeless Data Engineering in GCP: Beginner to Advanced rating
Code for the widget (just copy and paste it to your site):
<a href="https://coursemarks.com/course/codeless-data-engineering-in-gcp-beginner-to-advanced/" target="_blank" title="Codeless Data Engineering in GCP: Beginner to Advanced on Coursemarks.com"><img border="0" src="https://coursemarks.com/widget/95.svg" width="200px" alt="Codeless Data Engineering in GCP: Beginner to Advanced rating"/></a>