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features
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support

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Description

Today’s data warehouses are more advanced than they have ever been, yet the methods for integrating data have not kept pace with these advancements. The outdated middleware systems present significant obstacles for businesses aiming for agility. By utilizing SQL functions in Snowflake, organizations can effectively push data to their applications. It's also important to manage integration alongside other tasks in the data pipeline. Minimizing the need for extensive data infrastructure can help alleviate security concerns and reduce vendor assurance burdens. Complicated middleware and ETL processes contribute to deployment delays. Maintaining agility while minimizing code complexity is essential. Addressing the issues of consolidating customer data is key to establishing a reliable single source of truth. Recent advancements offer unprecedented connectivity and flexibility. Integrations can now operate without any intermediary infrastructure between the data source and its destination. Instead of transferring data, Connect utilizes live queries to present information directly within the destination application, ensuring that users always have access to the most current data.

Description

Eliminate all manual procedures, potential error sources, and inefficiencies. Avoid the need to constantly re-engineer your data warehouse with every shift in business requirements. Implement automatic quality checks both between and within data sources and respond swiftly when issues arise, which is essential for numerous data users. It’s important to genuinely trust your data now. Create a “gold record” reference point to ensure that business teams always have access to the most up-to-date information available. Establish one unified version of the truth that can be accessed anytime, anywhere. Develop an intermediate model that organizes, stores, and preserves your data independently of how it will be used. Be agile in responding to evolving data sources and business inquiries. Seamlessly connect all your data sources—from data lakes and operational systems to spreadsheets and legacy tools—just like you would with the initial one. Ensure data is stored, preserved, and enhanced in quality to streamline data warehouse automation processes. Data should be organized, enriched, and thoroughly documented so that it is accessible in well-structured datasets (information marts). In doing so, you pave the way for more efficient decision-making across the organization.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Google Cloud BigQuery
Google Sheets
Microsoft Excel
Microsoft Power BI
Qlik Data Integration
Salesforce
Snowflake
Tableau
Toucan
Zendesk

Integrations

Google Cloud BigQuery
Google Sheets
Microsoft Excel
Microsoft Power BI
Qlik Data Integration
Salesforce
Snowflake
Tableau
Toucan
Zendesk

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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

Omnata

Country

Australia

Website

omnata.com

Vendor Details

Company Name

dFakto

Founded

2000

Country

Belgium

Website

www.dfakto.com/datafaktory-data-warehouse-automation/

Product Features

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Product Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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