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Google Professional Data Engineer Training & Certification
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Google Cloud Certified Professional Data Engineer is a globally valued certification that hones your skills to make data-driven decisions by optimizing the captured data. The certification training expertly demonstrate how to efficiently collect, transform, and visualize data to generate useful insights. This comprehensive training aims to render practical understanding to design, build, maintain, and troubleshoot the data processing systems while emphasizing on the crucial aspects of the system including reliability, scalability, fault-tolerance, fidelity, security, and efficiency.

Course Highlights

  • Data analytics & visualizations
  • Operating with machine language services
  • Leveraging Google cloud data services
  • Certification-based curriculum

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Course Description

Overview

Google Cloud Certified Professional Data Engineer is a globally valued certification that hones your skills to make data-driven decisions by optimizing the captured data. The certification training expertly demonstrate how to efficiently collect, transform, and visualize data to generate useful insights. This comprehensive training aims to render practical understanding to design, build, maintain, and troubleshoot the data processing systems while emphasizing on the crucial aspects of the system including reliability, scalability, fault-tolerance, fidelity, security, and efficiency.

A Data Engineer is accountable to perform data analysis to anticipate prospected business outcomes, develop statistical models for supporting the decision-making, and builds machine learning models for simplifying and automating primary processes of the business.

Note: The validity of all Google certifications is 2 years from the date certified. Candidates are required to recertify in order for maintaining the status of an earned certification.

Why Professional Data Engineer?

This data engineering certification training advances your skills to:

  • Define and manage data structures
  • Work with data processes
  • Analyzing data and integrating pre-built ML services
  • Build process to optimize and analyze data
  • Understand and work with data visualizations
  • Understand and implement security and compliance

Target Audience

  • Data architects
  • Data engineers
  • Developers managing big data transformations
  • Data analysts

Pre-Requisite

  • Basic understanding of cloud,databases and data analysis

Exam Information

To acquire the credentials of mentioned certification, you have to pass the following exam:

Certification Name Professional Data Engineer
Test Format Multiple choice and multiple select
Test Duration 2 hours
Passing Score Confidential

 

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Course Objectives

The Data Engineer training and certification course provides in-depth understanding of:

  • Creating and maintaining databases and data structures
  • Designing effective data processing systems
  • Performing data analysis and enabling machine learning
  • Devising business processes for optimization and analysis
  • Designing models to induce reliability
  • Creating data visualizations and policy advocacy
  • Designing compliance and data security

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