Project

Reverse Dependencies for google-cloud-core

The projects listed here declare google-cloud-core as a runtime or development dependency

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The Google Cloud Security Operations API, popularly known as the Chronicle API, serves endpoints that enable security analysts to analyze and mitigate a security threat throughout its lifecycle.
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Database Migration Service makes it easier for you to migrate your data to Google Cloud. Database Migration Service helps you lift and shift your MySQL and PostgreSQL workloads into Cloud SQL. Database Migration Service streamlines networking workflow, manages the initial snapshot and ongoing replication, and provides a status of the migration operation.
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Cloud Quotas API provides Google Cloud service consumers with management and observability for resource usage, quotas, and restrictions of the services they consume.
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Enables users to create and manage connections to Google Cloud services and third-party business applications using the Connectors interface.
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Contact Center AI Insights helps users detect and visualize patterns in their contact center data. Understanding conversational data drives business value, improves operational efficiency, and provides a voice for customer feedback.
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The Container Analysis API is an implementation of Grafeas. It stores, and enables querying and retrieval of, critical metadata about all of your software artifacts.
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The Database Center API provides access to an organization-wide, cross-product database fleet health platform. It aggregates health, security, and compliance signals from various Google Cloud databases, offering a single pane of glass to identify and manage issues.
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Dataform is a service for data analysts to develop, test, version control, and schedule complex SQL workflows for data transformation in BigQuery.
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Cloud Data Fusion is a fully managed, cloud-native, enterprise data integration service for quickly building and managing data pipelines.
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AI Platform Data Labeling Service lets you work with human labelers to generate highly accurate labels for a collection of data that you can use in machine learning models.
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