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
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Discover the key concepts covered in this courseProvide an overview of the data engineer job roleIdentify exam preparation resources available for the google professional data engineer examRecognize the differences between the data engineer job role and other google cloud rolesCompare various data types such as structured, unstructured, and semi-structured data and storage locales such as cloud storage, cloud sql, and bigquery
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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 fusionOutline how data analysis extracts key insights from data using services such as bigquery ml, cloud dataproc, and cloud data fusionOutline 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 architectureSummarize the key concepts covered in this course
IN THIS COURSE
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1m 27sIn this video, we will discover the key concepts covered in this course. FREE ACCESS
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6m 22sAfter completing this video, you will be able to provide an overview of the data engineer job role. FREE ACCESS
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2m 45sUpon 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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3m 52sAfter 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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4mUpon 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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4m 57sAfter 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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4m 13sUpon 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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4m 21sAfter 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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6m 23sUpon completion of this video, you will be able to convert business needs into a successful architecture. FREE ACCESS
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49sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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