Google Cloud Professional Data Engineer Cert Prep: 1 Designing Data Processing Systems
1h 4mAdvanced2023-07-19
Authors
Noah Gift
MLOps Expert | Solopreneur | Author | Adjunct Professor | CTO
Course details
Professional Data Engineers enable data-driven decision making by collecting, transforming, and publishing data. Earning the Google Cloud Professional Data Engineer certification confirms that you’re able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models. In this course, Noah Gift prepares you for the first part of the exam, focusing on designing data processing systems. He covers topics on data warehousing and processions migration, storage technology selection, data pipeline design, and data processing solution design.
Skills covered
Google CloudData EngineeringSoftware Development ToolsGoogleCloud PlatformsCert PrepCloud ComputingData ScienceSoftware Development
Concepts
0. Introduction
- 01 - Google professional data engineer course overview
- 02 - Onboard to GCP
1. Storage Technology Selection
- 03 - Open-source vs. Google Cloud managed services
- 04 - Pro vs. con of open-source data engineering tools
- 05 - Google Cloud analytics services
2. Data Pipeline Design
- 06 - Data engineering pipelines
- 07 - Google Cloud storage strategy
3. Data Warehousing and Processing Migration
- 08 - Overview GCP storage
- 09 - Optimize for GCP database solutions
- 10 - Prompt engineering for BigQuery
- 11 - Using Google BigQuery with Google Colab
- 12 - Exploring data with Google BigQuery
Conclusion
- 13 - Next steps
Related courses
- Google Cloud Associate Cloud Engineer Cert Prep
- Designing a Google Cloud Landing Zone
- Google Cloud Data Engineering Foundations
- Introduction to Terraform on Google Cloud Platform
- Building a Video Transcriber with Node.js and Google AI Speech-To-Text API
- Learning Google Cloud Run
- Google Cloud Professional Data Engineer Cert Prep: 3 Operationalizing Machine Learning Models
- Google Cloud Professional Data Engineer Cert Prep: 4 Ensuring Solution Quality