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What is Google Cloud Data Fusion?

Open core technology enables the seamless integration of hybrid and multi-cloud ecosystems. Based on the open-source project CDAP, Data Fusion ensures that users can easily transport their data pipelines wherever needed. The broad compatibility of CDAP with both on-premises solutions and public cloud platforms allows users of Cloud Data Fusion to break down data silos and tap into valuable insights that were previously inaccessible. Furthermore, its effortless compatibility with Google’s premier big data tools significantly enhances user satisfaction. By utilizing Google Cloud, Data Fusion not only bolsters data security but also guarantees that data is instantly available for comprehensive analysis. Whether you are building a data lake with Cloud Storage and Dataproc, loading data into BigQuery for extensive warehousing, or preparing data for a relational database like Cloud Spanner, the integration capabilities of Cloud Data Fusion enable fast and effective development while supporting rapid iterations. This all-encompassing strategy ultimately empowers organizations to unlock greater potential from their data resources, fostering innovation and informed decision-making. In an increasingly data-driven world, leveraging such technologies is crucial for maintaining a competitive edge.

What is Google Ads Data Hub?

Tailor your marketing measurement approach to meet the unique needs of your organization. Ads Data Hub offers customized analysis that perfectly aligns with your specific goals, while simultaneously emphasizing user privacy and complying with Google’s stringent data security protocols. By leveraging Ads Data Hub, you can effortlessly transfer your first-party data to BigQuery and merge it with comprehensive event-level ad campaign data sourced from Google. This integration of your data with Google's event information can uncover crucial insights, boost advertising performance, support the achievement of data-driven business goals, and enable more effective campaign optimization. The insights produced by Ads Data Hub are aggregated across user segments, allowing Google to provide more detailed data while ensuring the protection of user privacy. Designed with privacy as a core principle, Ads Data Hub offers a distinct functionality that sets it apart from traditional data warehousing systems. Even experienced experts accustomed to various clean room and data warehousing environments may need to modify their methods to effectively utilize Ads Data Hub. As a result, the learning curve involved in mastering this platform can significantly improve your proficiency in utilizing data for strategic decision-making, thereby enhancing overall business outcomes. Furthermore, the adaptability required for using Ads Data Hub can lead to more innovative marketing strategies tailored specifically to your audience.

Media

Media

Integrations Supported

Google Cloud BigQuery
Dropbox Dash
Google Ads
Google Campaign Manager 360
Google Cloud Datastream
Google Cloud Platform
Google Display & Video 360
IntelliPay
Pantomath
YouTube

Integrations Supported

Google Cloud BigQuery
Dropbox Dash
Google Ads
Google Campaign Manager 360
Google Cloud Datastream
Google Cloud Platform
Google Display & Video 360
IntelliPay
Pantomath
YouTube

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Company Location

United States

Company Website

cloud.google.com/data-fusion

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

developers.google.com/ads-data-hub

Categories and Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Categories and Features

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