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This Is Likely the Computing Technology that Supports the Most Data Sources
- Enterprise data sources have evolved to include databases, files, APIs, streaming data, and more, requiring technologies to support multi-source computation.
- The 'logical data warehouse' is a common approach for multi-source computation but faces limitations in supporting diverse data sources.
- esProc is a technology that excels in multi-data source support without the need for heavy modeling, offering a lightweight approach and extensive connectivity capabilities.
- esProc supports various data sources like relational databases, non-relational databases, file formats, message queues, big data platforms, APIs, and more.
- Compared to other technologies, esProc not only supports a wider range of sources but also offers easier usability for cross-source computation.
- esProc offers a simple and powerful scripting language, SPL, for cross-source computation, providing seamless connectivity and computation capabilities.
- Users can easily extend new data sources in esProc without the need for complex development, enhancing flexibility and usability.
- esProc prioritizes flexibility and extensibility over transparency, allowing for easier handling of complex and irregular data structures.
- With seamless integration into mainstream application systems and flexible deployment options, esProc ensures a satisfying user experience and ease of integration.
- esProc stands out for supporting a wide variety of data sources, offering extensibility, unified syntax, structured data format compatibility, and smooth integration with mainstream systems.
- Overall, esProc emerges as a computing technology that supports a wide range of data sources while providing user-friendly experiences, quick extensibility, and powerful support.
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