Data Solutions Lab
Overview
The Data Engineering Solutions Lab (DSL) is a 10-Day, focused, immersive learning experience that rapidly upskills your team on Google Cloud data engineering principles and best practices. The program combines five days of expert-led training sessions on key data engineering concepts (e.g., data warehousing, pipelines, data quality) with hands-on labs and a five-day collaborative capstone project. The capstone challenges participants to address a real-world use case using Google Cloud tools.
What You'll Learn
- Accelerate data engineering adoption by mastering essential skills and best practices quickly, enabling faster implementation and value realization
- Boost data-driven decision making by equipping your team to confidently leverage Google Cloud powerful data tools and services for deeper insights and informed actions
- Shorten the path to ML success by building a strong data engineering foundation to prepare your organization for successful machine learning implementation
Who Should Attend
Teams looking to rapidly upskill on Google Cloud data engineering; Data engineers seeking immersive hands-on experience with real-world use cases
Prerequisites
Completion of the following courses or equivalent Google Cloud experience: Modernizing Data Lakes and Data Warehouses with Google Cloud; Building Batch Data Pipelines on Google Cloud; Building Resilient Streaming Analytics Systems on Google Cloud
Products Covered
Course Modules
Expert-Led Training Sessions
Topics
- Data warehousing concepts and best practices
- Data pipeline design and implementation
- Data quality management
- Google Cloud data engineering tools and services
Learning Outcomes
- Master essential data engineering skills and best practices
- Understand key data engineering concepts including data warehousing, pipelines, and data quality
- Learn to leverage Google Cloud data tools and services effectively
Activities
Collaborative Capstone Project
Topics
- Real-world use case implementation
- Applying Google Cloud tools to solve business challenges
- Team collaboration and problem-solving
Learning Outcomes
- Apply learned concepts to address a real-world use case
- Implement data engineering solutions using Google Cloud tools
- Work collaboratively to design and build a complete solution
Activities
Get This Training
No public classes currently scheduled. Express interest below or request private training.
Course Details
- Course Code
- T-DSLONE
- Duration
- 10 days
- Format
- ILT
- Level
- Advanced
- Modules
- 2
- Activities
- 10
Questions About This Course?
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