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.
In the previous article, “Affordable BIRT Acceleration via CoSort,” we explained the nature and benefits of a new seamless integration between the SortCL big data preparation program in IRI CoSort and thus IRI Voracity and the Business Intelligence Reporting Tool (BIRT) in Eclipse.
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.
As the old English proverb says, “necessity is the mother of invention.” When it comes to modern business intelligence goals, these words of wisdom ring truer than ever.
About Standard Deviation
Standard Deviation is a statistical measure of variance between data values and their mean (or average value). Standard deviation is calculated as the square root of that variance.
This article is part of a 4-step series introduced here. Navigation between articles is below.Step 3: Test Data Generation & Provisioning
In prior steps outlined in this series, you have determined the purpose and properties of the data, and who will produce and consume it.
As IRI CoSort integrates and stages big data from a variety of sources, it plays a natural role in producing data for reporting and analytics.
CoSort not only transforms data for loading data warehouse tables, it can report at the same time, or feed data in filtered, aggregated, sorted, and properly formatted subsets (like .CSV