As a follow-on to my introduction to IoT and MQTT, this article describes how device data collected from standard climate sensors and sent through an MQTT (Message Queuing Telemetry Transport) server can be rapidly and inexpensively pre-aggregated by a single SortCL program (in IRI CoSort) on a tiny edge device or gateway.
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.
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.
Linear regression is a staple data analysis function for financial, economic, research, and many other disciplines, that helps discover new data correlations. Users of the IRI Voracity platform can now simultaneously process big data from any number of sources and present customized trend lines to help business users make predictions.