
Workshops for Professionals:
BigQuery Bootcamp:
Data and Machine Learning on Google Cloud
Vision
Take control of your data and unlock its full potential on Google Cloud. BigQuery is one of the flagship services of Google Cloud Platform, and for a reason. It offers a unique, serverless data experience, which lets you reach your target faster. Building upon its strong infrastructure, you can grow a robust enterprise data warehouse or generate insights on voluminous datasets.
By mastering BigQuery, you turn your data into a significant asset, which enables informed decision-making and maximizes the return on your investments.
Learnings
In this BigQuery focused workshop, you will:
Gain practical hands-on experience with BigQuery and its GoogleSQL engine
Learn the aspects of working with a serverless and state-of-the-art data warehouse
Explore the integration of BigQuery with other Google Cloud services
Discover the declarative Machine Learning approach BigQuery offers
Understand best practices for organizing, monitoring and securing data in BigQuery
By the end of the session, you will be ready to take action and use the capabilities of BigQuery for data warehousing, data analytics and machine learning.
Target Audience
We conceived this workshop for:
Data managers and IT leaders
BI professionals and business analysts
Data analysts and data scientists
Data engineers and DWH developers
Basic knowledge of SQL and databases is recommended for some advanced topics brought up in the workshop.

Tailor-Made
We offer tailor-made workshops
for your teams, to your specifications.
Contact us via +41792018191 or academy@d-one.ai
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Tristan Stampfler
Tristan received his Master of Data Science from ETH Zürich and his Master of Science from Ecole polytechnique, Paris. Before joining D ONE, he worked as a Business Analyst Intern at McKinsey & Company in Paris and also had experience at big tech companies like IBM. His areas of focus are: machine learning, analytics and strategy. Tristan has been with the team since 2022.
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Mark Pfändler
Mark received his M.Sc. in Management, Technology and Economics from ETH Zurich in 2019 and he also holds a B.Sc. in Mechanical Engineering. His areas of expertise are data analytics and project management. Mark has been with the team since 2019.