GCP Professional Data Engineer (PDE) Exam Prep

Price
$1,795.00

Duration
3 Days

 

Delivery Methods
Virtual Instructor Led
Private Group

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Course Overview

This course prepares you for the Google Cloud Platform Professional Data Engineer (PDE) certification exam. Professional Data Engineers enable data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models. This course includes a full on-demand version of the course to support post-class studying and review in addition to a full-length practice exam using Exam Simulator software. Prepare to become Google Cloud certified today!

Private classes on this topic are available. We can address your organization’s issues, time constraints, and save you money, too. Contact us to find out how.

Course Objectives

  • Understand what is on the GCP Professional Data Engineer Certification Exam
  • Learn about the variety of storage options on Google Cloud
  • Get an overview of big data technologies, such as Hadoop and Spark
  • Discover the full power of BigQuery on GCP
  • Understand how to use Dataproc for big data cluster jobs
  • Use Cloud Data Fusion for easy drag and drop data pipeline creation
  • Learn about Cloud Composer to leverage Apache Airflow as a managed service on GCP
  • Discover the power of Cloud Dataflow as a managed Apache Beam service
  • Understand Pub/Sub for Kafka based messaging microservices
  • Learn about Dataprep to prepare data for your data pipelines
  • Get prepared for the GCP Professional Data Engineer Exam
  • Full-length PDE Practice Exam

Who Should Attend?

Anyone who wants to pass the GCP Professional Data Engineer Certification Exam or interested in how to leverage the power of Google Cloud Platform to create robust data engineering pipelines. Cloud data practitioners interested in migrating to GCP will also find this course useful. If you have no GCP experience, we recommend learning about GCP basics through our GCP Associate Cloud Engineer course first.

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Course Prerequisites

If you have no GCP experience, we recommend learning about GCP basics through our GCP Associate Cloud Engineer (ACE) course first.

Agenda

Google Cloud Platform Overview

GCP Storage

  • Cloud Storage
  • Cloud SQL
  • Cloud Spanner
  • Cloud Bigtable
  • Firestore
  • Memorystore

BigQuery

Dataproc

Cloud Data Fusion

Cloud Composer

Cloud Dataflow

Pub/Sub

Data Studio

Dataprep

Machine Learning Overview

Vertex AI and ML Platform

Certification Exam Prep Tips

GCP Professional Data Engineer Certification Practice Exam

 

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