Business Intelligence (BI)
Before you can make use of the data you have and trust its value for, analytic, testing, and other production jobs, you have to know enough about that data. Read More
Big Data
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. Read More
Business Intelligence (BI)
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. Read More
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)
Power BI is a business analytics and data visualization package from Microsoft that can provide custom-designed dashboards and reports ready for web or mobile display. Like other BI and analytic tools, Power BI can also perform simple data wrangling jobs like sorting and aggregation before and after the data are displayed. Read More
ETL
Connecting to and working with data in an Snowflake AWS database from IRI Workbench (WB) is no different than with an on-premise SQL-compatible source. You browse Snowflake tables and exchange metadata in Workbench via JDBC. Read More
Data Masking/Protection
“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? Read More
Data Masking/Protection
Quasi-identifiers, or indirect identifiers, are personal attributes that are true about, but not necessarily unique, to an individual. Examples are one’s age or date of birth, race, salary, educational attainment, occupation, marital status and zip code. Read More
Data Masking/Protection
Adding ‘random noise’ to data through blurring or perturbation is a data common anonymization requirement for researchers and marketers of protected health information (PHI) seeking to comply with the HIPAA Expert Determination Method security rule. Read More
Business Intelligence (BI)
This is part 4 of a 4-part series on Production Analytics. Processing on Par with Information [Part 1] Data Processing Drives Efficiency [Part 2] Processing Real World Data [Part 3]
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. Read More