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# importing libraries | |
import json | |
import pandas as pd | |
import numpy as np | |
import requests | |
from pandas.io.json import json_normalize | |
import time | |
import datetime | |
from furl import furl | |
import re |
We can make this file beautiful and searchable if this error is corrected: It looks like row 10 should actually have 10 columns, instead of 2. in line 9.
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tools,site,pricing,comment,"automated, intelligent population of the catalog",search,tagging and metadata freshness," business glossary so that users can view business terms, definitions and data stewards",view lineage from a data source such as a report to the underlying data source,preview of Sample Data & Profiling | |
Amundsen,https://eng.lyft.com/amundsen-lyfts-data-discovery-metadata-engine-62d27254fbb9,open source,,+,+,+,+,,+ | |
Marquez,https://marquezproject.github.io/marquez/,open source,,+,+,+,,, | |
Metacat,https://www.dataone.org/software-tools/metacat,open source,for scientific purposes,?,?,?,?,?,? | |
Talend,https://www.talend.com/products/data-catalog/,>$1000 user/month,,?,?,?,?,?,? | |
Waterlinedata,https://www.waterlinedata.com/,?,,+,+,+,,+, | |
Alation,https://www.alation.com/product/,?,,?,?,?,?,?,? | |
Ataccama,https://www.ataccama.com/product/metadata-management-and-data-catalog,?,,+,,,+,+, | |
Collibra,https://www.collibra.com/data-catalog,?,,?,?,?,?,?,? | |
WhereHows >> LinkedIn'DataHub ,https://github.com/linkedin/WhereH |
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