Introduction to Data Engineering on Google Cloud Training Logo

Introduction to Data Engineering on Google Cloud Training

Live Online & Classroom Enterprise Certification Training

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The Introduction to Data Engineering on Google Cloud course focuses on the fundamentals of data engineering using Google Cloud, covering data ingestion, transformation, storage, and analysis using tools like BigQuery, Dataflow, Dataproc, and Pub/Sub.

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What is Introduction to Data Engineering on Google Cloud Certification Training about?

 In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges.

What are the objectives of Introduction to Data Engineering on Google Cloud Certification Training ?

  • Understand the role of a data engineer.
  • Identify data engineering tasks and core components used on Google Cloud.
  • Understand how to create and deploy data pipelines of varying patterns on Google Cloud.
  • Identify and utilize various automation techniques on Google Cloud.

Who is Introduction to Data Engineering on Google Cloud Certification Training for?

  • Data engineers
  • Database administrators
  • System administrators

What are the prerequisites for Introduction to Data Engineering on Google Cloud Certification Training?

  • Prior Google Cloud experience at the fundamental level using Cloud Shell and accessing products from the Google Cloud console. 
  • Basic proficiency with a common query language such as SQL. 
  • Experience with data modeling and ETL (extract, transform, load) activities. 
  • Experience developing applications using a common programming language such as Python.

Available Training Modes

Live Online Training

8 Hours

Classroom Training

1 Days

Course Outline Expand All

Expand All

  • The role of a data engineer
  • Data sources versus data sinks
  • Data formats
  • Storage solution options on Google Cloud
  • Metadata management options on Google Cloud
  • Sharing datasets using Analytics Hub
  • Replication and migration architecture
  • The gcloud command-line tool
  • Moving datasets
  • Datastream
  • Extract and load architecture
  • The bq command-line tool
  • BigQuery Data Transfer Service
  • BigLake
  • Extract, load, and transform (ELT) architecture
  • SQL scripting and scheduling with BigQuery
  • Dataform
  • Extract, transform, and load (ETL) architecture
  • Google Cloud GUI tools for ETL data pipelines
  • Batch data processing using Dataproc
  • Streaming data processing options
  • Bigtable and data pipelines
  • Automation patterns and options for pipelines
  • Cloud Scheduler and Workflows
  • Cloud Composer
  • Cloud Run Functions
  • Eventarc

Who is the instructor for this training?

The trainer for this Introduction to Data Engineering on Google Cloud Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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Introduction to Data Engineering on Google Cloud Certification Training - Certification & Exam

  • SpringPeople is the Authorized Training Partner of Google Cloud Platform.
  • The training fees is exclusive of exam cost.
  • For any queries; feel free to reach us at GCP@springpeople.com

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