Скачать с ютуб Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery GSP1043 в хорошем качестве

Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery GSP1043

Overview A common scenario is where a Google Cloud Data Sharing Partner has proprietary datasets that customers can use for their analytics use cases. Customers need to subscribe to this data, query it within their own platform, then augment it with their own datasets and use their visualization tools for their customer facing dashboards. This enables Data Sharing Partners to simplify and accelerate how they build and deliver value from data-driven solutions. Through integration with Google Cloud IAM, you can set permissions on BigQuery objects to enable access by users inside or outside of organizations. In this lab, you will learn how Data Sharing Partners create Data Twins for customers either on Google Cloud or a different cloud service provider. For the purposes of this lab, the customer is on Google Cloud in a different project. In this lab you will wear two hats and be provided with three Google Cloud projects. In the first project, you are taking on the role of a Data Sharing Partner sharing a dataset generated by the partner's hosted solution using a Data Publishing project. In the second project, you will assume the role of a Data Sharing Partner who will share the source dataset in partner project as an authorized view in the Data Publishing project. In the third project, you will assume the role of a customer who will access the authorized view into their project as a Data Twin and join the data with their solution dataset to create enriched datasets. Objectives In this lab, you will: Create an authorized view for a Data Sharing Partner Dataset in different projects Secure access to the authorized view for a specific customer Use a customer generated dataset to join with the Data Sharing Partner dataset to create new insights #gcp #googlecloud #qwiklabs