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Data Lineage

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May 1, 2024 4 minute read

Data lineage is the process of tracking the flow of data from its origin to its destination. It provides a detailed record of how data is transformed, processed, and used throughout an organization. Data lineage is important for a number of reasons, including:

Why is Data Lineage Important?

Data governance: Data lineage helps organizations to comply with data governance regulations by providing a clear understanding of how data is used and processed. This information can be used to make informed decisions about data access and security.

Path to Data Lineage

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We've curated three courses to help you on your path to Data Lineage. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Exploring the Lineage of Data with Cloud Data Fusion

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Machine Learning Data Lifecycle in Production

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Data Governance with Databricks

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Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Lineage.

The Design and Implementation of Modern Column...

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Covers the theoretical foundations of data lineage, as well as practical techniques for implementing data lineage in large-scale data architectures.

The Design and Implementation of Modern Column...

Paperback

$$$

Intelligent Techniques for Data Science

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Provides a comprehensive overview of data lineage, including its history, benefits, challenges, and best practices for implementation.

Intelligent Techniques for Data Science

Kindle Edition

$$$

Data Scientist's Handbook

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Provides a comprehensive overview of data lineage, including its history, benefits, challenges, and best practices for implementation.

Data Scientist's Handbook: A Comprehensive Guide

Paperback

$$$

Relevant careers

Data Governance Analyst

Data Quality Analyst

Data Security Analyst

Data Analytics Consultant

Data Architect

Database Administrator

Data Engineer

Data Scientist

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