10 days EN / DE Max 16

Data Engineering Solutions Lab (DSL)

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. 

€9.850,00 excl. VAT

Individual scheduling

The courses are held as dedicated group sessions. Once you've booked, we'll coordinate a date that works for your team and send invitations to all participants.

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.

What you'll learn

  • Accelerate data engineering adoption: Master essential skills and best practices quickly, enabling faster implementation and value realization.
  • Boost data-driven decision making: Equip your team to confidently leverage Google Cloud's powerful data tools and services for deeper insights and informed actions.
  • Shorten the path to ML success: Build a strong data engineering foundation to prepare your organization for successful machine learning implementation.

Course modules
Accelerate data engineering adoption: Master essential skills and best practices quickly, enabling faster implementation and value realization. Boost data-driven decision making: Equip your team to confidently leverage Google Cloud's powerful data tools and services for deeper insights and informed actions. Shorten the path to ML success: Build a strong data engineering foundation to prepare your organization for successful machine learning implementation.
DSL will use an immersive blended learning approach, combining expert-led instructor sessions with self-paced, hands-on lab activities. Participants will interact in real-time through a virtual classroom environment.
Data Engineering Solutions Lab (DSL)