Modernizing Data Lakes and Data Warehouses with GCP
Learn data lakes & warehouses on Google Cloud! Explore use cases & technical details of data storage solutions. Build robust data pipelines.
Course Content
Modernizing Data Lakes and Data Warehouses with GCP is an intermediate-level Pluralsight course taught by Google Cloud. It runs 3h 35m, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 17 reviews. It is a paid course, first published January 2021.
Data pipelines are essential for modern businesses, and at their core lie two critical components: data lakes and data warehouses. This course provides a comprehensive exploration of both, detailing their distinct use cases and practical applications. We'll delve into the available data lake solutions and data warehouse solutions on Google Cloud Platform (GCP), offering technical insights into each.
You'll gain a clear understanding of the role of a data engineer and how a well-designed data pipeline can significantly benefit business operations. We'll also examine the advantages of leveraging a cloud environment for data engineering.
This course isn't just theoretical; you'll gain hands-on experience with data lakes and data warehouses on GCP through interactive QwikLabs. Learn how to build and manage robust data infrastructure in the cloud. Master the fundamentals of data storage and processing for data-driven decision-making.
Need a web app built? Hire the team behind TutorialSearch.io
We ship fast, production-grade full-stack apps (Next.js, React, edge infra) — the same stack that powers this site.