LazyView, the new kit by Lazy Software, based on its proprietary associative architecture, presents data drawn simultaneously in real time from multiple, disparate relational databases such as Oracle, DB2, and SQL Server.
Data from target databases is aggregated to combine similar types of data and to resolve semantic conflicts, and may be referenced, searched and queried via Sentences.
Data may also be augmented locally to extend the functionality of target databases and to support "what if" scenarios, explain the Lazy developers.
Data added in this way persists in Sentences' own data store.
According to Simon Williams, Chief Executive, founder of Lazy Software and inventor of the associative model of data, "Modern enterprises
frequently have to work with islands of information in many separate databases in order to get a comprehensive picture of their business. LazyView accomplishes this easily and quickly, presenting users with a coherent, unified, real-time view, without the need for costly data warehousing and ETL tools."
Sentences and LazyView capabilities in this area that other databases will find it difficult to match over the next few years.
LazyView is given further endorsement from IDC's Carl Olofson, who believes
that the product's ability to capture and present complex data in a semantically clear and consistent manner goes a long way toward addressing
the increasingly difficult task of managing the wide variety of data involved in eBusiness systems today.
The ability to operate in real time is a key differentiator for LazyView, according to the source
Data from target databases is not copied or replicated in Sentences, so users are always assured that what they are seeing via LazyView is current, and LazyView can operate effectively on very large databases without
requiring additional storage capacity.
Resolving semantic conflict
The technology targets semantic conflicts. It can recognise that what one
database calls a "Customer" is the same type of thing that another calls a "Client", or that an entity called "IBM" in one table is the same thing as
an entity called "International Business Machines" in another.
The technology will automatically aggregate the attributes of types and
instances to present a coherent view.

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