Five Minute Briefing - Information Management
September 3, 2013
Five Minute Briefing - Information Management: September 3, 2013. A concise weekly report with key product news, market research and insight for data management professionals and IT executives.
Datawatch Corporation, a provider of information optimization solutions, says it has completed its purchase of Panopticon Software AB, a privately held company based in Stockholm, Sweden. Panopticon's in-memory, high speed solution is used by companies in capital markets, telecommunications, energy and other industries that rely on real-time visual discovery and analytics.
IBM has also completed the acquisition of CSL International, a privately held provider of virtualization management technology for IBM's zEnterprise System. The software will become part of the IBM zEnterprise portfolio in early 2014.
Raima, a provider of database management system technology for both in-memory database usage and persistent storage devices, has announced the availability of Raima Database Manager (RDM) version 12.0, optimized for embedded, real-time, in memory and mobile applications.
SQL Sentry, Inc., the developer of software for Microsoft SQL Server, has introduced v7.5 of SQL Sentry, which provides integrated, visual monitoring and management for the high availability and disaster recovery solution, SQL Server AlwaysOn. The SQL Sentry Monitoring service actively collects data from availability group primaries, secondaries and failover cluster instances as appropriate to present a seamless view of the AlwaysOn environment.
Think About It
Data models attempt to express the business rules of an organization. A good data model reflects the semantics used within an organization to such an extent that business people within that organization can relate to and easily agree with what is being expressed. In this regard the data modeler's goal is to properly mirror back the organization's concepts onto those people within the organization. The goal is not to force an organization into a "standard" data model, nor is the goal to abstract everything in the creation of a master model that will never need to change even if the business rules were drastically shifted.