It would be nice to have the "Observed Value" Field be standardized to show percentages of "successful" validations, vs a mix of 0% / 100%. This causes confusion as there are different levels of validation outputs with different verbage (making someone not used to the expectations confused) I've given an example below in a screenshot for what I mean:
Because some user has had problems configuring these services could be helpful to make some examples or videos about how to properly setup Optimus in this services.
The program compares two files at a time and does the following 1.Gathering metadata on the individual tables(column count,record count,list of columns with datatype etc) 2.Identifying matching columns between tables based on names as well as data. Using machine learning, we are handling syntactic as well as semantic variations of column names for accurate matching. 3. Finding duplicate columns in single table with the option to deduplicate if required 4. Finding columns with missing data/null values.
Map naturally-occurring inter-subreddit content sharing patterns on Reddit by analyzing how posts are “cross-posted" between subreddits based on 2.5 million posts across the top 2,500 subreddits. Uses ECL and HPCC Systems.
Identified data types for each distinct column value on 1900 data sets. For each column, summarized semantic types present in the column, using Fuzzy Logic, Levenshtein distance. Identified & derived inference the 3 most frequent 311 complaint types by borough.
As a user,
It would be nice to have the "Observed Value" Field be standardized to show percentages of "successful" validations, vs a mix of 0% / 100%. This causes confusion as there are different levels of validation outputs with different verbage (making someone not used to the expectations confused) I've given an example below in a screenshot for what I mean:
![image](https://user-images.g