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Average Ratings 0 Ratings
Description
Combine data silos effortlessly using Azure Data Factory, a versatile service designed to meet diverse data integration requirements for users of all expertise levels. You can easily create both ETL and ELT workflows without any coding through its user-friendly visual interface, or opt to write custom code if you prefer. The platform supports the seamless integration of data sources with over 90 pre-built, hassle-free connectors, all at no extra cost. With a focus on your data, this serverless integration service manages everything else for you. Azure Data Factory serves as a robust layer for data integration and transformation, facilitating your digital transformation goals. Furthermore, it empowers independent software vendors (ISVs) to enhance their SaaS applications by incorporating integrated hybrid data, enabling them to provide more impactful, data-driven user experiences. By utilizing pre-built connectors and scalable integration capabilities, you can concentrate on enhancing user satisfaction while Azure Data Factory efficiently handles the backend processes, ultimately streamlining your data management efforts.
Description
The software that offers the most favorable cost-benefit ratio for producing SDTM/SEND datasets and define.xml is now available! SDTM-ETLTM is recognized as the most cost-effective and high-value software solution in the industry for the creation of SDTM and SEND datasets. It only requires that your EDC system can export clinical data in the CDISC ODM format, which is a standard feature in most EDC systems. Notably, SDTM-ETL operates completely without SAS®, meaning you do not have to invest in a costly SAS® license or any other statistical software. This tool features an exceptionally intuitive graphical user interface that allows users to create most mappings through simple drag-and-drop actions or mouse clicks. Additionally, the define.xml (versions 2.0 or 2.1) is automatically generated, and details can be input using smart wizards, eliminating the need for tedious XML editing or complicated Excel spreadsheets. Numerous CROs and service providers have already embraced SDTM-ETL for their regulatory submission preparations, making it a preferred choice in the market. This innovation is transforming the landscape of clinical data management and streamlining the submission process for many organizations.
API Access
Has API
API Access
Has API
Integrations
AnalyticsCreator
Apache Spark
Azure Marketplace
Azure Service Fabric
DataHawk
FairCom EDGE
Google Cloud BigQuery
IBM watsonx.data integration
JAMS
Klera
Integrations
AnalyticsCreator
Apache Spark
Azure Marketplace
Azure Service Fabric
DataHawk
FairCom EDGE
Google Cloud BigQuery
IBM watsonx.data integration
JAMS
Klera
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
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/data-factory/
Vendor Details
Company Name
XML4Pharma
Country
Austria
Website
www.xml4pharma.com/SDTM-ETL/
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
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
Product Features
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control