GCP Data Engineer Pro: Becoming a Google Cloud Data Engineer

Google Cloud 2024    |    Intermediate
  • 10 videos | 39m 9s
  • Includes Assessment
  • Earns a Badge
Data engineers collect data points. Each of these points-representing sales, user interactions, website visits, and more-tells a story, waiting to be deciphered. In this course, you will explore the role of a cloud data engineer, including job responsibilities, main activities, and key skills. You will discover how the data engineer role differs from other cloud-focused roles, such as a cloud developer or DevOps engineer. Then, you will focus on the Google Professional Data Engineer exam, identifying exam preparation resources and investigating practice questions to see what the exam might be like. This course is one of a collection that prepares learners for the Google Professional Data Engineer exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Provide an overview of the data engineer job role
    Identify exam preparation resources available for the google professional data engineer exam
    Recognize the differences between the data engineer job role and other google cloud roles
    Compare various data types such as structured, unstructured, and semi-structured data and storage locales such as cloud storage, cloud sql, and bigquery
  • Outline how data processing transforms data into a usable format for analysis or machine learning using services such as cloud dataflow, dataproc, and cloud data fusion
    Outline how data analysis extracts key insights from data using services such as bigquery ml, cloud dataproc, and cloud data fusion
    Outline how machine learning is used to build models that learn from source data and then make predictions using services such as cloud ml engine, cloud automl, and cloud tensor processing units (tpus)
    Convert business needs into a successful architecture
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 27s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 6m 22s
    After completing this video, you will be able to provide an overview of the data engineer job role. FREE ACCESS
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    3.  Planning for the Professional Data Engineer Exam
    2m 45s
    Upon completion of this video, you will be able to identify exam preparation resources available for the Google Professional Data Engineer exam. FREE ACCESS
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    4.  Data Engineer vs. Other Cloud Roles
    3m 52s
    After completing this video, you will be able to recognize the differences between the data engineer job role and other Google cloud roles. FREE ACCESS
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    5.  Data Types and Storage
    4m
    Upon completion of this video, you will be able to compare various data types such as structured, unstructured, and semi-structured data and storage locales such as Cloud Storage, Cloud SQL, and BigQuery. FREE ACCESS
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    6.  Data Processing
    4m 57s
    After completing this video, you will be able to outline how data processing transforms data into a usable format for analysis or machine learning using services such as Cloud Dataflow, Dataproc, and Cloud Data Fusion. FREE ACCESS
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    7.  Data Analysis
    4m 13s
    Upon completion of this video, you will be able to outline how data analysis extracts key insights from data using services such as BigQuery ML, Cloud Dataproc, and Cloud Data Fusion. FREE ACCESS
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    8.  Machine Learning
    4m 21s
    After completing this video, you will be able to outline how machine learning is used to build models that learn from source data and then make predictions using services such as Cloud ML Engine, Cloud AutoML, and Cloud Tensor Processing Units (TPUs). FREE ACCESS
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    9.  Mapping Requirements to Architecture
    6m 23s
    Upon completion of this video, you will be able to convert business needs into a successful architecture. FREE ACCESS
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    10.  Course Summary
    49s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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