Google Cloud Data Transformation - Getting data into the right shape and using it for business use cases

Data Transformation enables the transformation of raw data into a usable form for business use cases. Technologies such as SQL, Python, dbt and great_expectations can be used to create efficient data pipelines in the Google Cloud Platform (GCP) and ensure data quality to gain valuable insights.

Google Cloud Data Transformation - exciting solutions from GCP for your data transformation applications

GCP offers powerful technologies for Data Transformation, including SQL and Python. Using tools such as dbt (Data Building Tool - Python) and great_expectations, data pipelines can be created, tested and managed to continuously update efficient data models.


Data Transformation


Open source tool for data analysts to manage SQL-based transformation workflows, enables repeatable, scalable and documented data transformations.

Data Modeling and Transformation: defines data models in SQL, enables modular code and complex data relationships, automates SQL script execution, and ensures consistent transformations.

Data Transformation


Open source Python package for reliable and maintainable data pipelines, enables definition and validation of data expectations across different sources and systems.

Flexible Expectations Syntax: enables complex expectations on data with multiple data types, operators and functions, supports validation during data processing.

Structured expectation management: improves maintainability and reliability of data pipelines through versioned definition and management of expectations, visualization of validation results in the dashboard.

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Our Google partnership

s-peers AG is a pioneer in the European Google Cloud Platform scene and is certified by Google as a certified partner.

As one of the first local Google Cloud partners in Switzerland, we use Google Cloud product solutions to optimize our customers' IT landscape. Our customized solutions offer unparalleled efficiency, security and innovation to ensure your competitiveness in today's dynamic business landscape.

Your contact for Google Cloud Platform solutions

"Data transformation enables the conversion of raw data into a usable form for business use cases. With technologies such as SQL, Python, dbt and great_expectations, efficient data pipelines can be created in the GCP and data quality can be ensured in order to gain valuable insights." 

Christian Blessing
Christian Blessing
Head of Google Cloud Consulting


Interesting facts about GCP

Speaker Tobias Vogler

Data modeling in the Google Cloud

The webinar focused on how data can be efficiently modeled in the Google Cloud Platform (GCP) using the Data Build Tool (dbt) in order to achieve maximum added value for the company.

Webinar Data Modeling GCP

Webinar Data modeling in the Google Cloud Platform

Find out everything you need to know about "dbt Showcase: Engineering of Data Products" in the Google Cloud Platform. Exciting insights and the most important information.

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