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
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
VSE, short for Virtual Storage Extended, is an operating system for IBM mainframe computers. Programs scripted in its job control language (JCL) instruct the system in how to run batch jobs or start subsystems. Read More
One of the best ways to speed up big data processing operations is to not process so much data in the first place; i.e. to eliminate unnecessary data ahead of time. Read More
MVS, short for Multiple Virtual Storage, is the original operating system for IBM mainframe computers that is now z/OS. Its shell scripting or job control language (JCL), instructs the system how to run batch jobs or start subsystems. Read More
The sort included with each Unix-based operating system is a standard command line program that prints lines of input or specified input files in the specified sorted order. Read More
Data validation is a process that ensures a program operates with clean, correct and useful data. It uses routines known as validation rules that systematically check for correctness and meaningfulness of data that are entered into the system. Read More
Data migration is done using NextForm; IRI’s data migration utility for converting large files into different formats and/or translating field-level data into other types. The current version converts between uniform XML and text files, LDIF and CSV, Vision and ISAM, MF COBOL variable-length files and Excel, etc. Read More
Star schema is the simplest and most common database modelling structure used in traditional data warehouse paradigms. The schema resembles a constellation of stars — generally several bright stars (facts) surrounded by dimmer ones (dimensions) where one or more fact tables reference different dimension tables. Read More
Introduction: This blog discusses a brief overview of how IRI handles change data capture (CDC) solutions. Since the posting of this blog, IRI has created a wizard specifically for CDC solutions found in IRI Workbench. Read More
