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 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
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The theme of the Analytics Summer Apéro was "Surf's Up! Catch the Google & SAP Analytics Wave" took center stage. Participants immersed themselves in the world of data analysis and business intelligence tools from SAP and Google at Urbansurf in Zurich. Discover the exciting recordings of the keynotes with personal insights and innovative trends.
This wiki article presents two leading solutions for data management and analysis in the modern data-driven world: Google BigQuery and SAP BW. Both systems offer powerful functions, but differ in their approaches and areas of application.
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.