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
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.
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.
A significant proportion of up to 80% of all data often consists of unstructured data, such as images, videos and text documents. This vast amount of information is often not used optimally. Interestingly, this unstructured diversity...
The cooperation aims to provide technological support to companies in simplifying their data landscapes - so that they can turn their corporate data...
