This article looks at sets from an informational processing perspective; what they are; how they are constructed; and, distinct ways in which data can be drawn from sets within IRI software products using the SortCL data definition and processing program; i.e.,
In the course of legacy platform and/or application migration, COBOL users often need to convert their binary and index files into a human-readable, ASCII-numeric target. One of these older formats is the ACUCOBOL Vision1 file, which we discussed previously in this article.
Data architects and data scientists, as well as DBAs and governance teams, may need to use or migrate data in legacy file formats and databases. Additionally, the ability to mash-up those sources with newer file and database repositories is important in data integration (ETL) and analytic projects, as well as in data profiling for data loss prevention and privacy law compliance.
This article is first in a 3-part series on CLF and ELF web log data, where we introduce these file formats. The next article covers IRI solutions for processing web log data, and the last demonstrates web log data masking to protect visitor identities and destinations.
The ability to directly move very large database (VLDB) data from/to, and manipulate it within IRI software is essential for those requiring:data integration (ETL) database acceleration (unloads, loads, reorgs, queries) database migration data masking (encryption, redaction, de-identification, etc.)
This is the final article in a three-part blog series introducing IRI’s new data structuring technology. The first blog introduces “dark data” and the unstructured sources the wizard can analyze.