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What is Data Lineage?

What is Data Lineage?

TD:LR AgileData mission is to reduce the complexity of managing data. In the modern data world there are many capability categories, each with their own specialised terms, technologies and three letter acronyms. We want managing data to be simply magical, so we share...

What is Data Lineage?

TD:LR AgileData mission is to reduce the complexity of managing data. In the modern data world there are many capability categories, each with their own specialised terms, technologies and three letter acronyms. We want managing data to be simply magical, so we share...

What is a Data Catalog?

TD:LR AgileData mission is to reduce the complexity of managing data. In the modern data world there are many capability categories, each with their own specialised terms, technologies and three letter acronyms. We want managing data to be simply magical, so we share...

What is Data Observability?

Data observability is the practice of monitoring and measuring the behaviour of data. It is the ability to understand how data is flowing through your systems, identify any anomalies or issues that arise, and take action to address them. It requires a holistic view of the entire data factory, from data ingestion to data processing and analysis.

In other words, data observability is about making sure that the data you are using is accurate, complete and reliable. It is about ensuring that your data is trustworthy and that you can rely on it to make informed decisions.

What is a Data Catalog?

TD:LR AgileData mission is to reduce the complexity of managing data. In the modern data world there are many capability categories, each with their own specialised terms, technologies and three letter acronyms. We want managing data to be simply magical, so we share...

What is Data Observability?

Data observability is the practice of monitoring and measuring the behaviour of data. It is the ability to understand how data is flowing through your systems, identify any anomalies or issues that arise, and take action to address them. It requires a holistic view of the entire data factory, from data ingestion to data processing and analysis.

In other words, data observability is about making sure that the data you are using is accurate, complete and reliable. It is about ensuring that your data is trustworthy and that you can rely on it to make informed decisions.

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