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Modernizing Data Lakes and Data Warehouses with Google Cloud
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Modernizing Data Lakes and Data Warehouses with Google Cloud

This course is part of multiple programs. Learn more.

Course Cost

Free course

Intermediate

Skill Level

9 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Engineering, Big Data, and Machine Learning on GCP Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.7

53,817 Enrolled

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English

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olive-leaves-logo

4.7

53,817 Enrolled

olive-leaves-logo

English

What you'll learn

  • Differentiate between data lakes and data warehouses

  • Implement data storage solutions using Google Cloud Storage

  • Build and optimize data warehouses with BigQuery

  • Manage data access and governance effectively

  • Design efficient data processing pipelines

Skills you'll gain

BigQuery
Cloud Storage
Data Lakes
Data Warehouses
ETL
Cloud SQL
Data Engineering
Data Governance
Data Pipeline
GCP

This course includes:

3.1 Hours PreRecorded video

3 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 7 modules in this course

This comprehensive course focuses on modernizing data infrastructure using Google Cloud's data lake and warehouse solutions. Students learn to differentiate between data lakes and warehouses, implement solutions using Cloud Storage and BigQuery, and understand data engineering best practices. The curriculum covers data governance, ETL options, schema design, and optimization techniques for large-scale data processing.

Course Introduction

Module 1 · 15 Minutes to complete

Introduction to Modern Data Engineering on Google Cloud

Module 2 · 60 Minutes to complete

Building a Data Lakehouse with Cloud Storage, Open Formats, and BigQuery

Module 3 · 120 Minutes to complete

Modernizing Data Warehouses with BigQuery and BigLake

Module 4 · 60 Minutes to complete

Advanced Lakehouse Patterns and Data Governance

Module 5 · 75 Minutes to complete

Labs and Best Practices

Module 6 · 30 Minutes to complete

Course Summary

Module 7 · 15 Minutes to complete

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Modernizing Data Lakes and Data Warehouses with Google Cloud

Intermediate

Skill Level

9 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.