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Google Professional Data Engineer Certification Course: Design, Build, and Operate Data Solutions on GCP
on-demand course

Google Professional Data Engineer Certification Course: Design, Build, and Operate Data Solutions on GCP

with Anuj Syal
December 2024
Intermediate
2h 54m
English
O'Reilly Media, Inc.
Closed Captioning available in German, English, Spanish, French, Italian, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)

Overview

Dive into Google Cloud's Professional Data Engineer Certification to master the core concepts and tools essential for data engineering on the platform. This course is tailored for data engineers, data analysts, data scientists, solution architects, software engineers, and anyone looking to transition into machine learning and data engineering within the context of the Google Cloud Platform.

Join industry expert Anuj Syal to learn GCP's robust big data processing and storage services, including BigQuery, Dataflow, and Dataproc. Additionally, delve into the powerful machine learning suite offered by the platform, including AutoML for automated model training and ML APIs for simplified integration of pre-trained models. You'll explore the intricacies of designing, building, and optimizing scalable data solutions while developing expertise in constructing resilient streaming analytics systems on Google Cloud.

What you’ll learn and how to apply it

  • Mastering the core concepts and functionalities of Google Cloud's big data processing and storage services, including BigQuery, Dataflow, Dataproc, and Cloud Spanner
  • Design, build, and optimize scalable data solutions on Google Cloud, with a focus on resilient streaming analytics systems
  • Leveraging the machine learning suite offered by Google Cloud Platform, encompassing AutoML, ML APIs, and ML Ops, to develop cutting-edge solutions
  • Implementing essential security practices and navigating regulatory considerations for managing data on Google Cloud
  • Exploring advanced data analytics techniques using BigQuery ML and Cloud Datalab for deeper insights and more informed decision-making
  • Utilize Cloud Pub/Sub for real-time messaging and event-driven architectures
  • Preparing exam-style questions and gaining a comprehensive understanding of what each topic and service entails, ensuring readiness for certification exams

This course is for you because

You are a:

  • Data Engineering Novice
  • Cloud Computing Enthusiast
  • Data Engineering Practitioner
  • Data Engineering Practitioner Transitioning to Google Cloud
  • Certification Aspirant
  • Career Changer

Prerequisites

  • SQL and Python programming experience
  • Basic understanding of cloud fundamentals
  • Familiarity with Google Cloud Platform Services
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Publisher Resources

ISBN: 0642572045067