Data Transformation
Bucketing Data Values Using Set Files
In data warehouses, it is common to map discrete data values to a set of ranges. This makes it easier to write queries that involve a range of discrete values. Read More
Data Transformation
In data warehouses, it is common to map discrete data values to a set of ranges. This makes it easier to write queries that involve a range of discrete values. Read More
Test Data
A universally unique identifier, or UUID, is an identifier standard used in software construction and data processing. The main function of the UUID is to be a unique identifier in registries, databases, or larger data stores like a data warehouse. 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 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