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For almost 50 years, IRI software has been manipulating 'big data.' IRI began using that term in 2004 to describe its customer's high volume file sources.
IRI software powered by the SortCL 4GL in CoSort and its spinoffs can address structured data in: mainframe sequential and other flat-file formats, scalar relational and simple NoSQL database tables, C/ELF web logs, Excel sheets, ASN.1 CDRs, bank ACH and FedWire files, and other simple data sources through native connectors to pipes and payloads (like KAFKA or MQTT) cloud silos like Amazon S3, GCP and Azure, plus network protocols like HTTP/S and S/FTP.
The most relied-upon corporate and open data exists in these forms, and IRI software works with it in many ways through a simple metadata, supported in Eclipse:
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extracts very large database (VLDB) tables to flat files or pipes |
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sorts, joins, aggregates and otherwise transforms data in multiple sources, and creates multiple targets (including custom reports) at once |
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converts and replicates data types, file formats, and database table structures for platform and application migration, data federation, etc., and structures unstructured data |
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masks data in files and tables at the field level with encryption and many other protection functions |
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generates big test data in structurally and referentially correct RDB table, flat-file, and formatted-report targets |
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supports all of the above and discovers, integrates, migrates, governs, analyzes, and curates file and DB data throughout its lifecycle |
