- Course
Modernizing Data Lakes and Data Warehouses with GCP
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail.
Intermediate
- Course
Modernizing Data Lakes and Data Warehouses with GCP
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail.
Intermediate
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What you'll learn
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. Learners will get hands-on experience with data lakes and warehouses on Google Cloud Platform using QwikLabs.
Modernizing Data Lakes and Data Warehouses with GCP
Intermediate
Table of contents
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Explore the role of a data engineer | 6m 59s
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Analyze data engineering challenges | 8m 59s
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Intro to BigQuery | 3m 22s
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Data Lakes and Data Warehouses | 5m 59s
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Demo:Federated Queries with BigQuery | 6m 50s
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Transactional Databases vs Data Warehouses | 4m 53s
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Partner effectively with other data teams | 6m 20s
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Manage data access and governance | 2m 12s
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Demo:Finding PII in your dataset with DLP API | 1m 57s
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Build production-ready pipelines | 2m 8s
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Review GCP customer case study | 3m 55s
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Recap | 1m 24s
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Getting Started With GCP And Qwiklabs | 3m 48s
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Lab Intro:Using BigQuery to do Analysis | 17s
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Lab: Using BigQuery to do Analysis | 10s
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