Data pipelines typically fall under one of the Extract and Load (EL), Extract, Load and Transform (ELT) or Extract, Transform and Load (ETL) 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 get hands-on experience building data pipeline components on Google Cloud using Qwiklabs.
Building Batch Data Pipelines on Google Cloud
Building Batch Data Pipelines on Google Cloud
This course is part of multiple programs.
Instructor: Google Cloud Training
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4.5
(1,691 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 17 hours
Learn at your own pace
85%
Most learners liked this course
What you'll learn
Review different methods of data loading: EL, ELT and ETL and when to use what
Run Hadoop on Dataproc, leverage Cloud Storage, and optimize Dataproc jobs
Build your data processing pipelines using Dataflow
Manage data pipelines with Data Fusion and Cloud Composer
Details to know
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Assessments
4 assignments
Taught in English
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There are 6 modules in this course
In this module, we introduce the course and agenda
What's included
1 video
This module reviews different methods of data loading: EL, ELT and ETL and when to use what
What's included
6 videos1 assignment
This module shows how to run Hadoop on Dataproc, how to leverage Cloud Storage, and how to optimize your Dataproc jobs.
What's included
11 videos1 assignment1 app item
This module covers using Dataflow to build your data processing pipelines
What's included
13 videos1 reading1 assignment6 app items
This module shows how to manage data pipelines with Cloud Data Fusion and Cloud Composer.
What's included
13 videos1 assignment2 app items
Course Summary
What's included
1 video
Instructor
Instructor ratings
4.6 (246 ratings)Offered by
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4.5
1,691 reviews
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Showing 3 of 1691
UB
5
Reviewed on May 27, 2020
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.
AS
5
Reviewed on May 19, 2020
Informative on various features. But cloud fusion and dataflow are not very clearly explained in detail.. expecting more on this. Want to learn more on the pipeline topic please.
XZ
5
Reviewed on Sep 29, 2020
Good contents. Some lab questions do not have answers. Hope provide them to know how I understand the knowledge.
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.