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
Sponsored by Coursera Learning Team
47,053 already enrolled
Gain insight into a topic and learn the fundamentals.
4.5
(1,694 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
Skills you'll gain
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 (247 ratings)Offered by
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Learner reviews
4.5
1,694 reviews
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Showing 3 of 1694
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.
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.
ER
4
Reviewed on May 22, 2020
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
Recommended if you're interested in Information Technology
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