Building Batch Data Pipelines on Google Cloud
Learn to design and implement data processing pipelines on Google Cloud, covering ELT/ETL paradigms and various transformation technologies.
Learn to design and implement data processing pipelines on Google Cloud, covering ELT/ETL paradigms and various transformation technologies.
This comprehensive course explores data pipeline development on Google Cloud Platform. Students will master different data loading paradigms (EL, ELT, ETL) and learn when to apply each. The course covers essential GCP technologies including BigQuery, Spark on Dataproc, Cloud Data Fusion pipeline graphs, and serverless processing with Dataflow. Through hands-on labs, participants will gain practical experience in building and optimizing data pipelines, managing workflow orchestration, and implementing efficient data transformation processes.
Instructors:
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What you'll learn
Review different methods of data loading and understand when to use EL, ELT, or ETL
Deploy and optimize Hadoop workloads on Dataproc using Cloud Storage
Build scalable data processing pipelines using Dataflow
Manage complex data pipelines with Data Fusion and Cloud Composer
Implement serverless data processing solutions
Optimize data transformation workflows
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 7 modules in this course
This comprehensive course covers the fundamentals of building batch data pipelines on Google Cloud Platform. Students learn about different data loading paradigms including EL, ELT, and ETL, understanding when to use each approach. The course explores various Google Cloud technologies for data transformation, including BigQuery, Spark on Dataproc, Cloud Data Fusion, and Dataflow. Hands-on labs provide practical experience in building and optimizing data pipeline components. The curriculum covers essential aspects of data pipeline management, workflow orchestration, and efficient data processing techniques.
Introduction
Module 1
Introduction to Building Batch Data Pipelines
Module 2
Executing Spark on Dataproc
Module 3
Serverless Data Processing with Dataflow
Module 4
Manage Data Pipelines with Cloud Data Fusion and Cloud Composer
Module 5
Course Summary
Module 6
Course Resources
Module 7
Fee Structure
Instructor
Empowering Businesses with Expert Training from Google Cloud
The Google Cloud Training team is tasked with developing, delivering, and evaluating training programs that enable our enterprise customers and partners to effectively utilize our products and solutions. Google Cloud empowers millions of organizations to enhance employee capabilities, improve customer service, and innovate for the future using cutting-edge technology built specifically for the cloud. Our products are designed with a focus on security, reliability, and scalability, covering everything from infrastructure to applications, devices, and hardware. Our dedicated teams are committed to helping customers successfully leverage our technologies to drive their success.
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Frequently asked questions
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