Published: 10 January 2023
Google Cloud Platform is emerging with innovative analytics and AI capabilities, but is it ready for your use case? Data and analytics technical professionals should evaluate the capabilities covered in this research to successfully build end-to-end analytics and AI architecture in Google.
GCP simplifies the analytics architecture by providing distinct toolsets with minimal functional overlap. However, these services are still maturing, and clients are closely following Google’s analytics and AI roadmap.
Google is integrating distinct BI capabilities to enable enterprise-governed BI via Google Looker, self-service BI via Looker Studio, and spreadsheet experiences in Google Sheets based on the shared semantic models built in the LookerModeling Service.
Google Vertex AI provides a central platform to build, train and operationalize custom and AutoML models. However, some enterprise features, such as its integration with Google’s Cloud Monitoring, are still in preview.
The consolidation of GoogleData Catalog
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