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Tag Archives: metadata
Semantic integration: Establishing a common data infrastructure
The world of data integration still remains largely focused on creating point data integration solutions for specific information sources and targets. Conceptually, what that means is that business data is moved and transformed from one format to another with very little foresight on how the overall data infrastructure will be able to evolve and scale [...]
Posted in Semantic Integration, Semantic Types, Traditional ETL
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Also tagged data infrastructure, data integration, data objects, Semantic Integration, semantic types
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Requirements for semantics automation in ETL
One of the main challenges in ETL is how to normalize a large variety of input data formats so that the business rules can be expressed in a common way, independent of those different formats. Although there is a wide range of possible solutions, all traditional ETL approaches tend to suffer from one or more [...]
Posted in expressor, Metadata, Semantic Integration, Traditional ETL
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Also tagged etl tools, expressor Studio, semantic data integration
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Andy Leonard on scalable data warehousing (on-demand videos)
In case you have missed our Andy Leonard series on building a scalable data warehouse, you can watch Part 1 and 2 of our archived webinars by following one of the two links below: Click here to watch Part 1 data warehouse basics Click here to watch Part 2 the importance of good metadata management [...]
Posted in Online / Multi-media
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Also tagged Andy Leonard, data warehouse, etl software, expressor
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The importance of metadata in data integration
End user companies are consistently stressing the importance of metadata as shown in various research studies conducted by Gartner, TDWI, and other analyst firms. So you ask, what has gone wrong; why are so many ETL and data integration vendors still not fully addressing this important aspect in their products? Let’s first look at some [...]
Metadata: the cornerstone for tomorrow’s healthcare information management systems
Our next monthly webinar on September 9 will feature Dr. David Fenstermacher, the Chair and Executive Director of the Department of Biomedical Informatics at the H. Lee Moffitt Cancer Center & Research Institute. The Moffitt Research Institute uses the expressor semantic data integration system to build its newComparative Effectiveness Research (CER) data warehouse. Dr. Fenstermacher [...]
semantic rationalization blog series: part 4 – the benefits of abstraction
In my previous blog, I discussed our approach to semantic rationalization, and introduced the functionality necessary to implement our semantic metadata abstraction layer. I’d like to continue this discussion by talking about the benefits of our abstraction layer. The key advantage is that all integration and cleansing rules created in our system are built on [...]
Posted in expressor, Semantic Integration
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Also tagged data warehouse, etl, etl software, informatica, semantic abstraction, semantic data integration
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semantic rationalization blog series: part 3 – the specifics of abstraction
In my last blog, I finished up my thoughts on the importance of involving non-ETL-developers in the data integration process. Now let me talk more about how expressor addresses the challenges involved in accomplishing this goal. We have patented a number of concepts related to our solution, describing a business abstraction layer where the steward, [...]
Posted in expressor, Semantic Integration
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Also tagged expressor, metadata abstraction, semantic data integration, semantic rationalization
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Applying parallel concepts to application development
I believe that the answer to the question posed on our LinkedIn group recently (“Should business users be involved in data integration development?”) is that enabling business users to be involved in the data integration process is a fundamental requirement in enabling information management to respond to the building demands of the business. Over the [...]
share, share, it’s only fair
One of the questions I hear most often when talking to customers, partners, analysts or reporters is, “What does expressor mean by ‘semantic’ rationalization?” “Semantic” has quickly become one of those popular terms that is often misused or misunderstood if not placed in the proper technology or business context. I am not a marketing expert, [...]
Posted in Competition, expressor, Semantic Integration
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Also tagged Business Glossary, etl software, ibm, informatica, semantic data integration, semantic rationalization
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