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[MACRO] Valid json
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data-reliability
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Data 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 17, 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
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
-
Updated
May 17, 2022 - Python
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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