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 More
This is the first of a three-part blog series introducing IRI’s new data structuring technology. This article defines “dark data” and the unstructured sources IRI now supports. Read More
Data and database migration are key considerations for any system implementation, upgrade, or consolidation. Data migration happens for many reasons, like appliance upgrades or enhancements, server maintenance, or data center relocation. Read More
Job schedulers are computer programs controlling other program executions behind the scenes, or as part of batch processes. This workload automation is typically coordinated so that traditional background data processing can be integrated with real-time business activities without depleting resources or interfering with other applications. Read More
Editors note: CoSort Version 10 was released in mid-2018. Please see this article for links to its features and upgrade details.
What’s New in CoSort 9.5.3
Along with the new website, there is a new release of IRI’s flagship CoSort package for data management and data protection. Read More
Data profiling, or data discovery, refers to the process of obtaining information from, and descriptive statistics about, various sources of data. The purpose of data profiling is to get a better understanding of the content of data, as well as its structure, relationships, and current levels of accuracy and integrity. Read More
IRI’s data management tools share a familiar and self-documenting metadata language called SortCL. All these tools — including CoSort, FieldShield, NextForm, and RowGen — require data definition file (DDF) layouts with /FIELD specifications for each data source so you can map your data and manage your metadata. Read More
A test data generator is an important part of the setup process for DevOps and data architects prototyping database and data warehouse operations, testing applications, benchmarking different platforms, and outsourcing work formats. Read More