What you will learn
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Differentiate between data lakes and data warehouses.
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Explore use-cases for each type of storage and the available data lake and warehouse solutions on Google Cloud.
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Discuss the role of a data engineer and the benefits of a successful data pipeline to business operations.
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Examine why data engineering should be done in a cloud environment.
Program Overview
Introduction
⏳ 3 minutes
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Introduces the Data Engineering on Google Cloud series and this specific course.
Introduction to Data Engineering
⏳ 1 hour
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Discusses the role of data engineering and the rationale for performing data engineering in the cloud.
Building a Data Lake
⏳ 1 hour
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Describes what a data lake is and how to use Cloud Storage as your data lake on Google Cloud
Building a Data Warehouse
⏳ 5 hours
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Explores BigQuery as a data warehousing solution on Google Cloud.
Summary
⏳ 2 minutes
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Summarizes the key learning points from the course.
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Job Outlook
- Proficiency in data lakes and data warehouses is valuable for roles such as Data Engineer, Data Analyst, and Cloud Architect.
- Skills acquired in this course are applicable across various industries, including finance, healthcare, and technology.
- Completing this course can enhance your qualifications for positions that require expertise in cloud-based data storage and processing solutions.
Explore More Learning Paths
Enhance your data engineering and cloud analytics skills with these curated courses designed to help you modernize data lakes and warehouses, optimize storage, and improve data-driven decision-making.
Related Courses
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IBM Data Warehouse Engineer Professional Certificate Course – Learn to design, build, and manage modern data warehouses for enterprise-scale analytics.
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Data Engineering Foundations Specialization Course – Build a strong foundation in data engineering concepts, including pipelines, storage, and cloud integration.
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IBM Data Architecture Professional Certificate Course – Explore advanced data architecture techniques to optimize data storage, access, and analytics.
Related Reading
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What Is Data Management? – Gain insights into effective data management strategies that complement modern data lakes and warehouses.
