Data Integration, Data Schemas and High Quality Data

The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring (#2) Introduction Ensuring the accuracy and timeliness of data ingestion is a cornerstone for maintaining the integrity of data systems. Have all the source files/data arrived on time? Is the source data of expected quality?

Data Ingestion

Data Ingestion Transportation High Quality Data Data Schemas

Introducing The Five Pillars Of Data Journeys

DataKitchen

JUNE 19, 2023

Checking data at rest involves looking at syntactic attributes such as freshness, distribution, volume, schema, and lineage. Start checking data at rest with a strong data profile. The image above shows an example ‘’data at rest’ test result. The central value here is ensuring trust through data quality.

Data

Data Data Validation Utilities High Quality Data

Data Engineering Digest

The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring

Introducing The Five Pillars Of Data Journeys

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