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Google Cloud

Build Data Lakes and Data Warehouses on Google Cloud

Google Cloud via Coursera

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Overview

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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 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. This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.

Syllabus

  • Course introduction
    • Introduce the learner to the topics that will be covered in the course and the skills they will learn.
  • Introduction to Modern Data Engineering on Google Cloud
    • This module introduces the foundational concepts of data lakes and data warehouses, setting the stage for modern architectures on Google Cloud.
  • Building a Data Lakehouse with Cloud Storage, Open Formats, and BigQuery
    • This module details the concept of a lakehouse and introduces the Google Cloud products most commonly used to build a modern data lakehouse using open-source formats.
  • Modernizing Data Warehouses with BigQuery and BigLake
    • This module explores BigQuery as the cornerstone of a modern data warehouse and introduces BigLake for unifying access across the data lake and warehouse.
  • Advanced Lakehouse Patterns and Data Governance
    • This module focuses on advanced architectural patterns for the lakehouse, including data processing, orchestration, and comprehensive data governance across BigQuery, Cloud Storage, and BigLake.
  • Labs and Best Practices
    • This module provides labs to deepen skills in the tools and technologies used by a lakehouse on Google Cloud and an overview of best practices, common mistakes, and future trends
  • Course Summary
    • Summarize the architectural and operational capabilities of the BigQuery-centric data lakehouse, covering governance, advanced analytics, and machine learning

Taught by

Google Cloud Training

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4.7 rating at Coursera based on 2917 ratings

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