#80: Fixed documentation to suit new structure

Signed-off-by: Dominik Hoffmann <[email protected]>
amosproj · Nov 30, 2024 · c452701 · c452701
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Showing 9 changed files with 5 additions and 5 deletions.
diff --git a/...dk/code-reference/pipelines/data_quality/monitoring/spark/check_value_ranges.md b/...dk/code-reference/pipelines/data_quality/monitoring/spark/check_value_ranges.md
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+::: src.sdk.python.rtdip_sdk.pipelines.data_quality.monitoring.spark.data_quality.check_value_ranges
diff --git a/...dk/code-reference/pipelines/data_quality/monitoring/spark/flatline_detection.md b/...dk/code-reference/pipelines/data_quality/monitoring/spark/flatline_detection.md
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+::: src.sdk.python.rtdip_sdk.pipelines.data_quality.monitoring.spark.data_quality.flatline_detection
diff --git a/.../spark/data_quality/great_expectations.md → ...ty/monitoring/spark/great_expectations.md b/.../spark/data_quality/great_expectations.md → ...ty/monitoring/spark/great_expectations.md
@@ -2,4 +2,4 @@
 
 Great Expectations is a Python-based open-source library for validating, documenting, and profiling your data. It helps you to maintain data quality and improve communication about data between teams.
 
-::: src.sdk.python.rtdip_sdk.pipelines.monitoring.spark.data_quality.great_expectations_data_quality
+::: src.sdk.python.rtdip_sdk.pipelines.data_quality.monitoring.spark.data_quality.great_expectations_data_quality
diff --git a/...rence/pipelines/data_quality/monitoring/spark/identify_missing_data_interval.md b/...rence/pipelines/data_quality/monitoring/spark/identify_missing_data_interval.md
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+::: src.sdk.python.rtdip_sdk.pipelines.data_quality.monitoring.spark.data_quality.identify_missing_data_interval
diff --git a/...erence/pipelines/data_quality/monitoring/spark/identify_missing_data_pattern.md b/...erence/pipelines/data_quality/monitoring/spark/identify_missing_data_pattern.md
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+::: src.sdk.python.rtdip_sdk.pipelines.data_quality.monitoring.spark.data_quality.identify_missing_data_pattern
diff --git a/...dk/code-reference/pipelines/monitoring/spark/data_quality/check_value_ranges.md b/...dk/code-reference/pipelines/monitoring/spark/data_quality/check_value_ranges.md
diff --git a/...dk/code-reference/pipelines/monitoring/spark/data_quality/flatline_detection.md b/...dk/code-reference/pipelines/monitoring/spark/data_quality/flatline_detection.md
diff --git a/...rence/pipelines/monitoring/spark/data_quality/identify_missing_data_interval.md b/...rence/pipelines/monitoring/spark/data_quality/identify_missing_data_interval.md
diff --git a/...erence/pipelines/monitoring/spark/data_quality/identify_missing_data_pattern.md b/...erence/pipelines/monitoring/spark/data_quality/identify_missing_data_pattern.md
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		::: src.sdk.python.rtdip_sdk.pipelines.data_quality.monitoring.spark.data_quality.check_value_ranges
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		Great Expectations is a Python-based open-source library for validating, documenting, and profiling your data. It helps you to maintain data quality and improve communication about data between teams.

		::: src.sdk.python.rtdip_sdk.pipelines.monitoring.spark.data_quality.great_expectations_data_quality
		::: src.sdk.python.rtdip_sdk.pipelines.data_quality.monitoring.spark.data_quality.great_expectations_data_quality