This article demonstrates processing a web-based data source in the IRI Voracity data management platform. Static and streaming data defined in URLs — including flat files in formats like CSV or through FTP/S, HTTP/S, HDFS, Kafka, MQTT, and MongoDB — are supported by the default data processing engine in Voracity, CoSort Version 10.
Oracle Data Visualization Desktop, Oracle DV or DVD for short, is business intelligence (BI) software that can organize, aggregate, and visualize data for informational outcomes. What seems to make this BI software unique is its ability to create slideshow presentations from its different visualizations.
“Have you stopped speeding?” You could probably object to a leading question like this in court, but what happens when an important question with only a yes or no answer is solicited on a mandatory form, and the response becomes part of an actionable database record?
In this final article of the series covering the Production Analytic Platform paradigm, we look at data virtualization—a key requirement in today’s multi-source, data-overloaded world.
This is part 3 of a 4-part series on Production Analytics. Processing on Par with Information [Part 1] Data Processing Drives Efficiency [Part 2] Unifying the Worlds of Information and Processing [Part 4]
The inclusion of full function data processing in the Production Analytic Platform simplifies the task of gathering data from external sources such as the Internet of Things and clickstream data that requires both intensive exploratory modeling as well as high-speed application and maintenance of those models on real-time and streaming data.
This is the first of a four-part series of blog articles examining the inherent tradeoffs between data processing and information storage and presentation within traditional ETL paradigms — from the ODS to the data lake.
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.
This article demonstrates the manipulation of a CSV file using an IRI Workbench wizard. In fact, this example shows how PII can be masked from almost any IRI job wizard, though CSV file masking is most often performed from a single or multi-file IRI FieldShield job menu.