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data-observability
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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/DataCoData profiling, testing, and monitoring for SQL accessible data.
python
data-science
airflow
monitoring
metrics
data-engineering
data-analytics
data-quality
data-profiling
data-monitoring
data-quality-monitoring
data-unit-tests
airflow-operators
data-testing
data-pipeline-monitoring
data-observability
data-reliability
data-quality-framework
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Updated
May 7, 2022 - Python
oravi
commented
May 7, 2022
Task Overview
- Currently timestamp_column is the only configuration that is needed to be configured globally in the model config section (usually it's being configured in the properties.yml under elementary in the config tag).
- Passing the timestamp_column as a test param will enable running multiple tests with different timestamp columns. For example running a test with updated_at colum
re_data - fix data issues before your users & CEO would discover them 😊
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May 6, 2022 - Python
Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes
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Apr 8, 2022 - Python
Data anomalies monitoring as dbt tests and dbt artifacts uploader.
data
analytics
dbt
data-pipelines
data-lineage
analytics-engineering
data-pipeline-monitoring
dbt-packages
data-observability
data-reliability
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May 8, 2022 - Python
DataVines makes it easier to know your data
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May 8, 2022 - Java
Data Lineage Observability Project
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Oct 1, 2021 - Shell
A simple to use EventEmitter and Data-Observer python package.
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Jan 17, 2020 - Python
Expectation Maximization (EM) algorithm for estimating maximum likelihood (ML) parameters of partially observed data on a three-node Bayesian Network Probabilistic Graphical Model.
python
expectation-maximization
probabilistic-graphical-models
sufficient-statistics
data-observability
missing-at-random
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Updated
Sep 2, 2021 - Jupyter Notebook
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What type of re_data dbt macro you would like to add
What macro should be doing
Return true is string is a valid JSON and can be parsed to JSON