Big Data needs a powerful engine

Integration of rapid transformations, improvement of application data security

Application Performance Optimization

IRI Software's data manipulation engines are fast, scalable, and designed to accelerate third-party applications. IRI libraries and executables are easy to integrate and economical to license. Execute C, C++, Java, COBOL, or system calls to drive a or all the following steps in your software:

  • High-volume data transformation (sort, join, aggregate, pivot)
  • Reporting (Batch, Delta, Detail, and Summary BI Formats)
  • Protection (field-level encryption, masking, de-ID)
  • Conversion (of both file formats and data types)

In the new IRI Voracity platform for With Big Data Management, you can seamlessly run the same data transformation, protection, and reporting jobs across Hadoop MapReduce, Spark, Storm, and Tez through IRI Workbench. GUI Execute.

If you the thread-safe sortcl_routine()Library in IRI CoSort call, your applications can complete all of the above tasks in one I/O pass. From sorting, to summing, to reporting, to encryption, you can quickly power and secure your applications; and they process data with thread-safe IRI code.

When developing or testing applications that require access to production data, you must mask it in a way that complies with business and legal regulations. IRI FieldShieldThe software masks personally identifiable information (PII) in your databases and flat files, allowing you to protect personal data privacy while maintaining data realism.

Use IRI RowGen, when you develop applications and need to stress them with the right spectrum of accurate, relational test data. RowGen requires NO access to production data to create realistic, referential data. Populate any database or flat file format, as well as structured reports. Even test the portability of your applications across platforms, as RowGen can also manipulate the data it produces!

Every computer science curriculum includes sorting routines, so you know what they are. Traditional sort operations are non-linear; as data doubles, the process of putting that data in the right order triples. So as your volumes rise, what ran fast last month now seems to take longer and longer. As the production windows begin to close, you should Embedded Sorting Alternative consider.

IRI CoSort has consistently been described as the fastest and most scalable sorting engine for large datasets on large Unix and Windows servers. CoSort has been successfully integrated and provided by AMS, CA, Cincom, Experian, Fiserv, Kalido, Mereo, Sabre, SAS, SPSS, and Unisys, to name a few. Learn how cost-effective the integration of CoSort is.