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features
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Description

Open core technology facilitates the integration of hybrid and multi-cloud environments. Built on the open-source initiative CDAP, Data Fusion guarantees portability of data pipelines for its users. The extensive compatibility of CDAP with both on-premises and public cloud services enables Cloud Data Fusion users to eliminate data silos and access previously unreachable insights. Additionally, its seamless integration with Google’s top-tier big data tools enhances the user experience. By leveraging Google Cloud, Data Fusion not only streamlines data security but also ensures that data is readily available for thorough analysis. Whether you are constructing a data lake utilizing Cloud Storage and Dataproc, transferring data into BigQuery for robust data warehousing, or transforming data for placement into a relational database like Cloud Spanner, the integration capabilities of Cloud Data Fusion promote swift and efficient development while allowing for rapid iteration. This comprehensive approach ultimately empowers businesses to derive greater value from their data assets.

Description

Version control, quality assurance, documentation, and modularity enable data teams to work together similarly to software engineering teams. It is crucial to address analytics errors with the same urgency as one would for bugs in a live product. A significant portion of the analytic workflow is still performed manually. Therefore, we advocate for workflows to be designed for execution with a single command. Data teams leverage dbt to encapsulate business logic, making it readily available across the organization for various purposes including reporting, machine learning modeling, and operational tasks. The integration of continuous integration and continuous deployment (CI/CD) ensures that modifications to data models progress smoothly through the development, staging, and production phases. Additionally, dbt Cloud guarantees uptime and offers tailored service level agreements (SLAs) to meet organizational needs. This comprehensive approach fosters a culture of reliability and efficiency within data operations.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Google Cloud BigQuery
Pantomath
Amazon Redshift
Azure Marketplace
Blotout
Braight
Cuckoo
Dagster+
Datakin
Dropbox Dash
Google Cloud Datastream
IntelliPay
Kestra
Lightdash
Quaeris
Secoda
Snowflake
Spresso
VeloDB
Zenlytic

Integrations

Google Cloud BigQuery
Pantomath
Amazon Redshift
Azure Marketplace
Blotout
Braight
Cuckoo
Dagster+
Datakin
Dropbox Dash
Google Cloud Datastream
IntelliPay
Kestra
Lightdash
Quaeris
Secoda
Snowflake
Spresso
VeloDB
Zenlytic

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$50 per user per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Country

United States

Website

cloud.google.com/data-fusion

Vendor Details

Company Name

dbt Labs

Founded

2016

Country

United States

Website

www.getdbt.com

Product Features

ETL

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

Product Features

ETL

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

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