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.
dbt
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.
great_expectations
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.
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.
"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."
KNOWLEDGE
Interesting facts about GCP
This Wiki article introduces two leading solutions for data management and analysis in today's data-driven world: Google BigQuery and SAP BW. Both systems offer powerful functionalities but differ in their approaches and areas of application.
The Analytics Summer Apéro 2026 – Where Innovation Meets Exchange.
Our Analytics Summer Apéro 2026 offered a unique opportunity to experience firsthand the latest developments and innovations in the fields of AI, SAP Business Suite, and Business Data Cloud. Attendees enjoyed engaging keynote presentations by leading experts, interactive discussions, and practical insights that provided valuable inspiration for their own work.
In addition to the technical depth, the apéro offered the perfect platform for relaxed networking, stimulating discussions and even the opportunity to ride the Analytics Wave on the UrbanSurf.
Discover the highlights of the event in our impressions and learn more about the future-oriented trends in the field of data analysis!
SAP continuously updates the Analytics Cloud and Data Fabric components through short release cycles. The sheer number of new features introduced each quarter makes it difficult for users and decision-makers to stay on top of things and make targeted use of the relevant functions. This webinar provides guidance.
With BigQuery, Google is selling a warehousing tool that is supposed to be able to replace established systems. What concrete advantages Google BigQuery offers, how data processing works with it and how the combination...



