
CLF and ELF Web Log Processing
This article is second in a 3-part series on CLF and ELF web log data. We previously explained CLF and ELF web log formats, and now introduce IRI solutions for manipulating and using web log data. Read More
This article is second in a 3-part series on CLF and ELF web log data. We previously explained CLF and ELF web log formats, and now introduce IRI solutions for manipulating and using web log data. Read More
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. Read More
In Working towards Data Quality, we defined data quality (DQ) as a state in which data can be used for operations. What makes the quality of data high is the paucity of errors. Read More
This article is fourth in a 4-part series on managing metadata assets in IRI Workbench using Git. It focuses on the security of your metadata. Other articles in the series cover the use of Git as a metadata asset hub, for version control, and for tracking metadata lineage. Read More
This article is third in a 4-part series on managing metadata assets using Git version control for metadata in the IRI Workbench GUI. It focuses on the tracking of job script histories for the benefit of metadata lineage analysis. Read More
This article is second in a 4-part series on managing metadata assets in IRI Workbench using Git. It focuses on its metadata version control. Other articles in the series cover the use of Git: as a metadata asset hub, for tracking metadata lineage, and for metadata security. Read More
This article is first in a 4-part series on managing job-specific metadata assets in IRI Workbench. It focuses on the value of a metadata hub in general, and a Git implementation in particular. Read More
There are a variety of testing requirements for any data warehouse and database — and especially dual platforms like Teradata — where ETL and BI prototypes, application stress testing, and performance benchmarking are essential. Read More
Introduction
The ability to directly move very large database (VLDB) data from/to, and manipulate it within IRI software is essential for those requiring:
big data integration (ETL) database performance optimization (unloads, loads, reorgs, queries) database migration data masking (encryption, redaction, de-identification, etc.) Read MoreThanks to the Internet, the IT world is now a smaller place, too. Information conveyed in different languages must be accurately represented in multiple data sources, email clients, and applications. Read More
Abstract: Amid the still-growing problem of data breaches, and new v3 requirements of the Payment Card Industry Data Security Standard (PCI DSS) in effect, it has never been more important to protect sensitive data properly. Read More