IDERA ER/Studio is a powerful suite for business-driven data modeling that enables companies to create an enterprise architecture foundation for data governance. With round-trip support for multiple database platforms, data architects have the power to reverse-engineer, analyze, and optimize existing databases easily from diverse platforms. Data professionals can easily capture and share models, metadata, data sources, and glossaries across the organization for improved alignment between the organization and Information Technology. Organizational stakeholders can take part in the metadata definition workflow and access information on models and metadata at the right level for their needs.
Unlike its competition, it provides the broadest range of data platform support, industry-leading enterprise-level capabilities, visual data lineage and flow modeling, full dimensional modeling for data warehousing and business intelligence, and business data objects to bridge the gap between developers and data architects. It also provides a complete solution for enterprise architecture and data governance, extensive model change management, unique incorporation of true enterprise data dictionaries, unique linking of constructs across models, integrated visual data lineage import, and integrated data and business process modeling.
IDERA SQL Comparison Toolset provides a comfortable, automated way to compare schema and data for Microsoft SQL Server and Oracle Database. Generate SQL scripts for synchronization, and deploy these SQL scripts to propagate databases. Compare and synchronize schemas and data between two databases. Review differences, synchronize via SQL scripts, migrate changes from test to production, migrate data, audit, repair unwanted changes, verify replication, and populate development databases with production data. Simplify change management for databases.
Unlike its competition, it provides comprehensive comparison and synchronization of schema and data including across database versions, the generation of individual object creation scripts, a quick rerun of comparisons, saving of settings for comparisons, and saving of workspaces and server sets.
Oracle Coherence is an in-memory data grid solution that enables organizations to predictably scale mission-critical applications by providing fast access to frequently used data. As data volumes and customer expectations increase, driven by the “internet of things”, social, mobile, cloud and always-connected devices, so does the need to handle more data in real-time, offload over-burdened shared data services and provide availability guarantees.
Oracle Coherence comes with a rich set of processing and event capabilities so applications can scale processing with increased data volumes. By automatically and dynamically partitioning data, Oracle Coherence ensures continuous data availability and transactional integrity, even in the event of a server or site failure.
Oracle Coherence provides organizations with a robust scale-out data abstraction layer that brokers the supply and demand of data between applications and data sources. This cost-effectively offloads shared data services such as databases, mainframes, and partner services.
For more information on Oracle Coherence, visit Oracle.com
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Colorado State University
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