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ease
features
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support

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Description

Transfer your data seamlessly into your customer's cloud data lake or warehouse without ever having to leave your own system. By connecting Bobsled to your data source, you can select the specific bucket or warehouse for your data transfer, and Bobsled will take care of the rest. There’s no need to manage multiple accounts or construct complex pipelines. Designed on each platform’s sharing protocol, Bobsled offers data providers a secure and effortless way to share data, eliminating the challenges of managing a multi-cloud environment. Considering that data integration consumes 70% of the time that teams spend working with external datasets, Bobsled empowers your clients to quickly access analysis-ready data directly in the environments they are accustomed to. Additionally, users can easily track and manage every data share through a single interface, enabling them to initiate shares, automate data transfers, resolve any errors, and monitor usage efficiently. Ultimately, this streamlined process enhances productivity and allows teams to focus more on insightful analysis rather than tedious data logistics.

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

Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Azure Blob Storage
Azure Data Share
Azure Databricks
Google Analytics
Google Cloud Platform
Google Cloud Storage
Google Sheets
Microsoft Azure
Microsoft Excel
Microsoft Power BI
Ploy
Qlik Data Integration
Snowflake
Tableau
Toucan

Integrations

Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Azure Blob Storage
Azure Data Share
Azure Databricks
Google Analytics
Google Cloud Platform
Google Cloud Storage
Google Sheets
Microsoft Azure
Microsoft Excel
Microsoft Power BI
Ploy
Qlik Data Integration
Snowflake
Tableau
Toucan

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

Bobsled

Founded

2021

Website

www.bobsled.co

Vendor Details

Company Name

dFakto

Founded

2000

Country

Belgium

Website

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

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

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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