Tag Archives: high performance

Remote Data Collection and Transformation – with Ultra Messaging Cache Option and B2B Data Transformation

Sometimes when I drive past an electronic tollway collection sensor, I wonder about the amount of data it must generate. I’m no expert on such technology, but at a minimum, the RFID sensor has to read the chip in your car, and log the date and time plus your RFID info, and then a camera takes a picture to catch any potential violators. Now multiply that data times the hundreds of thousands of cars that drive such roads every day, times the number of sensors they pass, and I’m quite sure this number exceeds several million messages per day. (more…)

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Posted in B2B, Big Data, Data Aggregation, Data Transformation, Financial Services, Healthcare, Public Sector, Telecommunications, Ultra Messaging | Tagged , , , , , , , , , , | Leave a comment

Leveraging the Flexibility of Informatica MDM: An Architecture Deep Dive

Informatica World pre-conference session kicked off on Monday at the Gaylord National Harbor, Washington DC. One of the four sessions was “Leveraging the Flexibility of Informatica MDM – An Architecture Deep Dive”. Dmitri Korablev, VP of MDM Strategy, Ron Matusof, VP of MDM Solution Architecture, and Steve Hoskin, MDM Chief Architect conducted the session. The key objective was to explain the advanced architectural concepts of Informatica MDM relating to security, high performance, high availability, concurrency, and integration.

Dmitri started off quoting Albert Einstein “make everything as simple as possible, but not simpler” as the guiding principle that drove the design of Informatica MDM. He and Ron presented the six-step process to design an MDM solution – defining usage scenarios, selecting solution options, evaluating consumption patterns, defining data model, defining solution architecture, and applying non-functional requirements to the solution. Deeper conversations in each of the steps emphasized the guiding principle – keep MDM solution design simple! (more…)

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Posted in Data Governance, Enterprise Data Management, Master Data Management | Tagged , , , , , , , , | Leave a comment