Big Data
An operational data store (or “ODS”) is another paradigm for integrating enterprise data that is relatively simpler than a data warehouse (DW). Read More
Business Intelligence (BI)
This is part 2 of a 4-part series on Production Analytics. Processing on Par with Information [Part 1] Processing Real World Data [Part 3] Unifying the Worlds of Information and Processing [Part 4]
Considering data processing as a central component of data management and on a par with databases offers new insights on how to improve overall efficiency and return on investment in traditional data warehouses. Read More
Big Data
“That’s all you need in life, a little place for your stuff. That’s all your house is, a place to keep your stuff. If you didn’t have so much stuff, you wouldn’t need a house. Read More
Data Transformation
For the last 30 or so years, the precursor to most large scale business intelligence (BI) environments has been the Enterprise Data Warehouse (EDW). A data warehouse (DW) is usually a central database (DB) for reporting, planning, and analyzing summarized, subject-matter data integrated from disparate, historical transaction sources. Read More
Big Data
The traditional or enterprise data warehouse (EDW) has been at the center of data’s transformation to business intelligence (BI) for years. An EDW involves a centralized data repository (traditionally, a relational database) from which data marts and reports are built. Read More
Big Data
Has your organization considered using a data lake? This article explains what a data lake is, and how you can fish its murky depths for value in an architecture optimized for your needs. Read More
Test Data
IRI RowGen software creates test data you can customize to meet specific needs. It supports the formats and techniques that make your test sets as realistic as you want them to be. Read More