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For over 25 years, Torry Harris' focus on integration solutions has fostered seamless digital connectivity, enabling better and faster commerce for businesses through platform business models.
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We believe that the right partnerships can make all the difference. Our strong partnerships enable us to deliver on our promise of high performance, flexibility, and competitive pricing, ensuring that our customers achieve their strategic objectives with confidence.
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Cloud & Automation: Changing CSPs’ OpEx outlook
Enterprises often try to break down silos by extracting disparate data into central data stores, such as data marts, data warehouses, and data lakes. This is costly, adds latency to the data, requires accurate metadata, and needs to be co-located. Virtualization, on the other hand, can integrate data in real-time even when the data has not been merged. Torry Harris can help integrate all your data through virtualization using industry-leading tools. By harnessing the power of virtualization, we empower users to work with all kinds of data interfaces in real-time, simplify and expedite analytics on data stored in multiple systems and applications anywhere.
We’ll study your current data management and governance practices, the data sources, and the integration challenges and then recommend a data virtualization solution based on the right product fit.
Align your integration framework with data virtualization in terms of enabling API discovery of virtualized data, and secure exposure of APIs on an API gateway through integrating with an API management platform.
Develop connectors to your proprietary applications based on the SDK of your chosen data virtualization platform over and above out-of-the-box connectors provided by the platform.
Develop APIs and define virtual views using the data virtualization tooling. We will integrate them with your analytics tools.
Data virtualization is based on the principle of virtual tables. It allows architects to create a virtual data model and map them to a variety of data sources ranging from raw data, files, web services, legacy applications, cloud services, and other proprietary applications through an extensible adapter framework. Data can be accessed through both APIs and SQL (on virtual tables). Through the mapping of interfaces, both read and write access to data is supported. Data virtualization bridges the best of application and data integration through a unified technology platform.