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data-profiling

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Aylr
Aylr commented Dec 28, 2020

Describe the bug
data docs columns shrink to 1 character width with long query

To Reproduce
Steps to reproduce the behavior:

  1. make a batch from a long query string
  2. run validation
  3. render result to data docs
  4. See screenshot
    <img width="1525" alt="Data_documentation_compiled_by_Great_Expectations" src="https://user-images.githubusercontent.com/928247/103230647-30eca500-4
enhancement help wanted good first issue core-team
pmbrull
pmbrull commented Apr 4, 2022

Let's prepare a mixin for interacting with Roles and Policies with the Python client, in case users want to use the API directly.

Do not only have the list, get etc, but also utility methods, such as updating a default role. It should wrap the following logic:

import requests
import json

# Get the ID
data_consumer = requests.get("http://localhost:8585/api/v1/roles/name/DataCo
good first issue client
popmon
odd-platform

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.

  • Updated Feb 17, 2018
  • Python

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