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Building Batch Data Pipelines on Google Cloud

Master batch data processing with Google Cloud tools: Dataproc, Dataflow, Data Fusion, and Cloud Composer.

Master batch data processing with Google Cloud tools: Dataproc, Dataflow, Data Fusion, and Cloud Composer.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Engineering, Big Data, and Machine Learning on GCP Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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Building Batch Data Pipelines on Google Cloud

This course includes

17 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Implement various data loading methods using EL, ELT, and ETL

  • Optimize Apache Spark jobs on Google Cloud Dataproc

  • Develop serverless data processing pipelines with Dataflow

  • Manage complex workflows using Cloud Composer and Data Fusion

  • Design efficient and scalable batch processing solutions

Skills you'll gain

Data Engineering
ETL
Apache Spark
Dataflow
Cloud Composer
Data Fusion
Hadoop
Pipeline Development
BigQuery
Dataproc

This course includes:

2.5 Hours PreRecorded video

4 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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There are 6 modules in this course

This comprehensive course focuses on building and managing batch data pipelines using Google Cloud's data processing tools. Students learn different data loading paradigms (EL, ELT, ETL), execute Spark jobs on Dataproc, develop serverless data processing pipelines with Dataflow, and orchestrate workflows using Cloud Composer and Data Fusion. Through hands-on labs and practical exercises, participants gain experience with real-world data pipeline scenarios and best practices.

Introduction

Module 1 · 0 Minutes to complete

Introduction to Building Batch Data Pipelines

Module 2 · 22 Minutes to complete

Executing Spark on Dataproc

Module 3 · 2 Hours to complete

Serverless Data Processing with Dataflow

Module 4 · 9 Hours to complete

Manage Data Pipelines with Cloud Data Fusion and Cloud Composer

Module 5 · 4 Hours to complete

Course Summary

Module 6 · 3 Minutes to complete

Instructor

Google Cloud Training
Google Cloud Training

4.7 rating

86 Reviews

26,85,892 Students

1,729 Courses

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.

Building Batch Data Pipelines on Google Cloud

This course includes

17 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.