Data Lineage Tracking - Learn Data Science with Travis

Data-Lineage-Tracking

Data lineage tracking refers to the process of monitoring and visualizing the flow of data as it moves through various stages of a data pipeline. This includes tracking the origins of data, transformations it undergoes, and its ultimate destination within an organization. By implementing data lineage tracking, organizations can gain insights into data quality, compliance, and governance. It empowers teams to understand data dependencies, make informed decisions, and ensure that data-driven processes are reliable and efficient. As data environments become increasingly complex, effective lineage tracking is essential for maintaining trust in data and supporting a data-driven culture.

How Should We Be Thinking about Data Lineage?

Towards Data Science

Get a top-down view of your data and analytics ecosystem with comprehensive lineage Image courtesy of Rawpixel, paid for on Envanto Why is data lineage such a hot topic right now? Data lineage is amo...

14 Questions to Ask When Evaluating Data Lineage

Towards Data Science

Looking for a data lineage tool? These are the key “gotchas” and features you should be asking about. Photo by Crawford Jolly on Unsplash Data lineage can be a mess. Think of it like knitting a blank...

Understanding Data Lineage: From Source to Destination

Towards AI

I went to a restaurant yesterday, “Anthera.” After eating my fourth or fifth piece of pepper chicken, which, by the way, was delicious, I started to be amazed by our capability to digest and savor it....

Data Lineage is Broken — Here Are 5 Ways to Fix It

Towards Data Science

Data Lineage is Broken — Here Are 5 Ways to Fix It Data lineage should be less like a treasure map and more like Google Maps Image courtesy of Mick Haupt on Unsplash. Data lineage isn’t new, but auto...

What is Data Lineage and How Can It Ensure Data Quality?

Level Up Coding

Are you spending too much time tracking down bugs for your C-level dashboards? Are different teams struggling to align on what data is needed throughout the organization? Or are you struggling with…

🔎 Edge#149: Model Tracing and Lineage

TheSequence

In this issue: we discuss Model Tracing and Lineage; we explore MLTrace, a reference architecture for observability in ML pipelines; we overview M3, a platform that powers time-series at Uber. 💡 ML C...

A tool/framework to detect the extent of changes in data entities between time periods

Analytics Vidhya

Today, organisations in the world leverage multiple tools/frameworks to enable traceability of data running throughout various data pipelines within their own data landscape. A variety of…

Superglue — Journey of Lineage, Data Observability & Data Pipelines

Towards Data Science

Data plays a critical role in business decisions, AI/ML, product evolution and much more. Timeliness, accuracy, and reliability are the key foundational data requirements for every organization. For…

Creating a Transparent Data Environment with Data Lineage

Towards Data Science

When I’m writing data transformations, I often notice an inconsistency along the way. Perhaps a column in a data source doesn’t follow the naming convention I put in place, or a timestamp hasn’t been…...

Tableau Server impact analysis reports: harvesting data lineage for all sites

Towards Data Science

Our first three milestones in this series produced a Tableau Hyper extract containing data lineage information from the Metadata API, user interaction information from Tableau Server’s internal…

Data Value Lineage, meaning at last?

Towards Data Science

Maximise the business value of your data Picture by the author (some of these I have read!) Introduction I have always had a soft spot for words that perfectly capture the essence of a concept. Durin...

Tracking in Practice: Code, Data and ML Model

Towards Data Science

Tracking! We’ve all done it before whether you’re a researcher or an engineer; whether you’re involved in machine learning, data science, software development or even a profiler (please don’t mind me,...