Audience

Companies looking for a solution to exchange data resources efficiently

About Google Cloud Analytics Hub

Google Cloud's Analytics Hub is a data exchange platform that enables organizations to efficiently and securely share data assets across organizational boundaries, addressing challenges related to data reliability and cost. Built on the scalability and flexibility of BigQuery, it allows users to curate a library of internal and external assets, including unique datasets like Google Trends. Analytics Hub facilitates the publication, discovery, and subscription to data exchanges without the need to move data, streamlining the accessibility of data and analytics assets. It also provides privacy-safe, secure data sharing with governance, incorporating in-depth governance, encryption, and security features from BigQuery, Cloud IAM, and VPC Security Controls. By leveraging Analytics Hub, organizations can increase the return on investment of data initiatives by exchanging data. Analytics Hub is based on the scalability and flexibility of BigQuery.

Integrations

API:
Yes, Google Cloud Analytics Hub offers API access

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Company Information

Google
Founded: 1998
United States
cloud.google.com/analytics-hub

Videos and Screen Captures

Google Cloud Analytics Hub Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
Online

Google Cloud Analytics Hub Frequently Asked Questions

Q: What kinds of users and organization types does Google Cloud Analytics Hub work with?
Q: What languages does Google Cloud Analytics Hub support in their product?
Q: What kind of support options does Google Cloud Analytics Hub offer?
Q: What other applications or services does Google Cloud Analytics Hub integrate with?
Q: Does Google Cloud Analytics Hub have an API?
Q: What type of training does Google Cloud Analytics Hub provide?

Google Cloud Analytics Hub Product Features

Big Data

Templates
Data Visualization
Collaboration
Data Blends
Data Cleansing
Data Warehousing
High Volume Processing
Data Mining
No-Code Sandbox
Predictive Analytics