Business Intelligence (BI)
Dimensional data that change slowly or unpredictably are captured in Slowly Changing Dimensions (SCD) analyses. In a data warehouse environment, a dimension table has a primary key that uniquely identifies each record and other pieces of information that are known as the dimensional data. Read More
Business Intelligence (BI)
Dimensional data that change slowly or unpredictably is captured in Slowly Changing Dimensions (SCD) analyses. In a data warehouse environment, a dimension table has a primary key that uniquely identifies each record and other pieces of information that are known as the dimensional data. Read More
Business Intelligence (BI)
Dimensional data that change slowly or unpredictably are captured in Slowly Changing Dimensions (SCD) analyses. In a data warehouse environment, a dimension table has a primary key that uniquely identifies each record and other pieces of information that are known as the dimensional data. Read More
Business Intelligence (BI)
Dimensional data that change slowly or unpredictably is captured in Slowly Changing Dimensions (SCD) analyses. In a data warehouse environment, a dimension table has a primary key that uniquely identifies each record and other pieces of information that are known as the dimensional data. Read More
Business Intelligence (BI)
Introduction: As with multiple BI platforms discussed throughout this section of the IRI blog site, this article analyzes the relative data preparation performance (and benefit) of using its external data wrangling engine – via the IRI CoSort product or Voracity platform — with QlikView when ‘big data’ sources are involved. Read More
Data Migration
In the course of legacy platform and/or application migration, COBOL users often need to convert their binary and index files into a human-readable, ASCII-numeric target. One of these older formats is the ACUCOBOL Vision1 file, which we discussed previously in this article. Read More
Big Data
Introduction: As with multiple BI platforms discussed throughout this section of the IRI blog site, this article analyzes the relative data preparation performance (and benefit) of IRI CoSort with Tibco Spotfire when ‘big data’ sources are involved. Read More
Big Data
Among analytic tools for statistical computation and graphics, R has shown an increase in popularity among data miners, and in the development of its open source language. Read More
Business Intelligence (BI)
Introduction: This example demonstrates an older method of using IRI FieldShield to protect sensitive data prior to indexing the data in Splunk. As you will read, FieldShield would process the data outside of Splunk and create a CSV file for Splunk’s ingestion. Read More
Data Quality (DQ)
Introduction This is my third installment of blog articles about Data Quality. In the first article, I postulated that data has quality when it has an acceptable level of errors. Read More