IDERA Data Fabric technologies
Proven, trusted, established technologies that optimize delivery of data from source to target.
Data Fabric describes an all-encompassing analytics architecture that facilitates availability of data that can be easily understood, accessed, maintained, and provisioned to information stakeholders across the entire enterprise.
IDERA’s modular infrastructure moves customers towards a semiautonomous environment with the ultimate goal of a fully automated platform that delivers data from source to destination in the most optimal possible manner. Here we introduce the key IDERA technologies that make the vision of Data Fabric a reality:
Data architecture and database design software.
An industry-leading data modeling tool for designing and understanding data assets, helping companies define the information of the organization and using it to design and map data assets. With round-trip database support, you can reverse-engineer, analyze, and optimize existing databases all while providing knowledge and a governance framework to the data fabric.
Data Warehouse Automation.
Data discovery and profiling that helps you quickly understand data sources and leverage data-model best practices to automatically build, test, and iterate on design prototypes with business users for rapid, early project success.
An Open Data Lake Platform.
Supports machine learning, streaming, and ad-hoc analytics with a platform that provides end-to-end services to reduce the time and effort required to run Data pipelines, Streaming Analytics, and Machine Learning workloads on any cloud.
An integrated development environment (IDE) for databases and visual analytics.
Delivering insight to analysts by enabling access to multiple data sources. This productivity suite for IT professionals supports communication and collaboration by processing and rendering critical data to dashboards and reports to facilitate informed business decisions.