# Data Lineage using dlt and dbt.

DevFeed: [Data Lineage using dlt and dbt.](<https://devfeed.tech/articles/data-lineage-using-dlt-and-dbt-80291.md>)

Original publisher: [Read original article](<https://dlthub.com/blog/dlt-data-lineage>)

Author: Zaeem Athar

Published: 2023-11-27T00:00:00Z

Content type: tutorial

Language: en

Sources: [DLT Hub](<https://devfeed.tech/sources/dlt-hub.md>)

Topics: [Data pipelines](<https://devfeed.tech/topics/data-pipelines.md>), [etl](<https://devfeed.tech/topics/etl.md>), [Cloud Dataflow](<https://devfeed.tech/topics/cloud-dataflow.md>), [product analytics](<https://devfeed.tech/topics/product-analytics.md>)

Tags: [analytics-workloads](<https://devfeed.tech/tags/analytics-workloads.md>), [bigquery](<https://devfeed.tech/tags/bigquery.md>), [data-lineage](<https://devfeed.tech/tags/data-lineage.md>), [data-pipelines](<https://devfeed.tech/tags/data-pipelines.md>), [dbt](<https://devfeed.tech/tags/dbt.md>), [important](<https://devfeed.tech/tags/important.md>), [trace](<https://devfeed.tech/tags/trace.md>), [tutorials](<https://devfeed.tech/tags/tutorials.md>), [updates](<https://devfeed.tech/tags/updates.md>)

## AI overview

This tutorial demonstrates data lineage with dlt, dbt, and BigQuery. It uses load metadata and dbt models to track table, row, and column lineage, then presents the results in a Metabase dashboard. The article notes that dlt tracks schema changes but does not currently provide data flow diagrams.

## Source excerpt

## Why data lineage is important? Data lineage is an important tool in an arsenal of a data engineer. It showcases the journey of data from its source to its destination. It captures all the pitstops made and can help identify issues in the data pipelines by offering a birds eye view of the data. As data engineers, data lineage enables us to trace and troubleshoot the datapoints we offer to our stakeholders. It is also an important tool that can be used to meet regulation regarding privacy.