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What is OpenHexa?

Addressing health-related challenges often requires the amalgamation of complex and diverse data sources, even when targeting interventions within a single country. These data sources can stem from Health Management Information Systems (HMIS) like DHIS2, personal tracking tools, specialized software tailored to specific issues, or various Excel files provided by healthcare professionals. The existence of this varied data in separate silos frequently poses the greatest obstacle to efficient exploration and analysis. This disconnection also inhibits collaboration, leading health data analysts to create makeshift scripts and visualizations on personal devices and share their findings across different publications, which complicates the process of deriving coherent insights. To tackle this issue, Bluesquare has introduced OpenHexa, a robust cloud-based data integration platform that consists of three main components: extraction, analysis, and visualization. This cutting-edge platform primarily utilizes established open-source technologies, ensuring reliability and accessibility for users within the health sector. By simplifying data management, OpenHexa aspires to promote collaboration and generate cohesive insights that can enhance the effectiveness of health interventions. Furthermore, the platform is designed to adapt to the evolving needs of healthcare professionals, ensuring that it remains relevant in an ever-changing landscape.

What is Azure Data Factory?

Effortlessly merge your data silos with Azure Data Factory, a flexible service tailored to accommodate a wide range of data integration needs for users of varying skill levels. The platform allows you to create both ETL and ELT workflows without the need for coding through its intuitive visual interface, or you can choose to implement custom code if that suits your preferences better. It also boasts seamless integration capabilities with more than 90 ready-to-use connectors, all included at no additional cost. With a strong emphasis on your data, this serverless integration service takes care of all the complexities for you. Azure Data Factory acts as a powerful layer for data integration and transformation, supporting your digital transformation initiatives. Moreover, it enables independent software vendors (ISVs) to elevate their SaaS offerings by integrating hybrid data, which helps them deliver more engaging, data-centric user experiences. By leveraging pre-built connectors and scalable integration features, you can focus on boosting user satisfaction while Azure Data Factory adeptly manages backend operations, thereby simplifying your data management processes. Additionally, this service empowers you to achieve greater agility and responsiveness in your data-driven strategies.

Media

Media

Integrations Supported

JupyterHub
Microsoft Power BI
Tableau

Integrations Supported

Amazon Redshift
Apache Spark
Azure Service Fabric
DataHawk
Evvox
FairCom DB
FairCom EDGE
Google Cloud BigQuery
Klera
MindBridge
Orchestra
Pantomath
RTILA
SQL Server
Stonebranch
Suntek Reporting
Zipher

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Bluesquare

Company Location

Belgium

Company Website

bluesquarehub.com/products/data-integration-platform-2/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/data-factory/

Categories and Features

Data Integration

Not specified

Integration

Not specified

Categories and Features

Data Integration

Not specified

Data Management

Not specified

Data Pipeline

Not specified

Data Preparation

Not specified

ETL

Not specified

Integration

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

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