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Build Data Lakes and Data Warehouses on Google Cloud

IntermediateSkill Level
Updated 05/2026
Build modern data lakehouses on Google Cloud using BigQuery, Cloud Storage, Apache Iceberg, BigLake, federated queries, and data governance tools.
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3 hr 48 min
52 Exercises
2,800 XP
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Course Description

Learn to build modern data lakehouses on Google Cloud. This course covers data lake and data warehouse architectures, the lakehouse approach with Cloud Storage and BigQuery, Apache Iceberg open table format, BigLake, federated queries, partitioning, clustering, data governance, and machine learning on the lakehouse.

Prerequisites

There are no prerequisites for this course
1

Course introduction

Introduce the learner to the topics that will be covered in the course and the skills they will learn.
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2

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.
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6

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
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7

Course Summary

Summarize the architectural and operational capabilities of the BigQuery-centric data lakehouse, covering governance, advanced analytics, and machine learning
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Build Data Lakes and Data Warehouses on Google Cloud
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