Analyzing and Cleansing Data for Sun Master Index

Reviewing the Data Profiler Reports

When you run the Data Profiler, as described in Performing the Initial Data Analysis, the Data Profiler creates one report for each rule you defined and stores them in the location you specified in the configuration file. Review each report to help determine which fields need to be cleansed and how data needs to be validated or modified. When you profile prior to cleansing, you are looking for occurrences of invalid values or patterns, default values, missing values, and so on. This information translates into the rules you will write for the Data Cleanser.

Reports are written in CSV format so you can import them into a spreadsheet or reporting tool. Data patterns listed in the pattern frequency reports appear as regular expressions. See the Javadoc for java.util.regex for more information. The Data Profiler names each report based on the type of frequency performed, the order in which the rules appear in the configuration file, and the records on which it was performed. The naming syntax for the report file names is:


UD_FreqType_Order_Records.csv

where:

For example, SF_PROFILE_SIMPLE_FRQ_3_1-100000.csv is the third simple frequency analysis report defined in the configuration file and performed against the first the first 100,000 records. CF_PROFILE_CONSTRAINED_FRQ_1_1-0.csv is the first constrained frequency analysis report defined in the configuration file and performed against all records.

For examples of different types of frequency analysis reports, see Data Profiler Report Samples. When you finish analyzing the reports, continue to Configuring the Data Cleansing Rules.