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Currently there is no way to delete a virtual table using the IAAdmin command or any other IIS API. This is particularly important when we refresh monthly data Virtual Tables to use them as the source for Data Rules / Column Analysis in Production...
Certify Information Analyser to profile Parquet files in an AWS S3 bucket
In order to provide effective Data Governance, we need the ability to run Column Analysis, Data Quality Analysis, and run Data Rules against Parquet files stored in Amazon S3 Buckets.These files form a significant portion of our data estate, and w...
Problem: Currently within the Virtual Tables and SQL Virtual Tables there is no way to pass a Parameter externally within a Filter Condition. As an example if I am using a date filter in a VT or SQL VT that extracts the data for a given day or giv...
Ability to export violations for out-of-the-box checks from Information Analyzer
Information Analyzer performs some out-of-the-box checks to analyse data and measure data quality. Sample checks include checking for duplicate values, checking for inconsistencies etc. These records can be viewed from IA thin client but there is ...
Currently using IGC query, we are able to get run history of scheduled IA jobs. We want to see list of all scheduled IA data rules in a project with date and timing, data rule name and frequent run detail of that schedule.
Option to exclude NULL (empty rows) from column analysis Information Analyzer
Real life use case: Information Analyzer is used to profile data using Column Analysis with Data Sample of given size ( for example 10k or 100k rows).Analyzed column have 20 milions rows in total: lets assume 18 milion rows are empty (NULL), and 2...
We are looking for the capability to capture IA user activity Specifically, we would like visibility intoUpdatesRule executionFolder creationFolder use in codeColumn AnalysisView / drill downColumn Analysis reviewReference table creationReference ...
Add a project setting for table-level (top) Analyze button in new IGC
We want to prohibit users from Analyzing a full table under certain conditions, for example, on a project basis. For projects that have very large data sources, running column analysis on a full table uses too many server resources and also fills ...
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