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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...

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...

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...

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 Explained To My Grandmother

Towards Data Science

I can’t say how many times I’ve asked myself these questions. Or how many times I heard those when I talk with data engineers, analytics engineers, or heads of data. In most companies, if you ask…

All about data provenance

Towards Data Science

If you’re about to jump on the citizen data scientist bandwagon (diving into COVID-19 data, perhaps?) there are a few things you should know about data provenance… Society is plagued by distorted…

Creating a Transparent Data Environment with Data Lineage

Towards Data Science

The benefits of column-level lineage across your stack Continue reading on Towards Data Science

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…

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...

Persistent History Tracking in Core Data

Better Programming

WWDC 2017 introduced a new concept available from iOS 11: persistent history tracking. It’s Apple’s answer for merging changes that come from several targets like app extensions. Whenever you change…

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…

Data Cleaning for the Tombstone Project

R-bloggers

Project Overview I’m working on a project for my father that will culminate in a website for his genealogy research. There are a couple of different parts that I’m working on independently. This part ...

🔎 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...

Versioned Data Management System Design

Level Up Coding

Introduction Previously, I introduced a distributed ledger system . From a technical level, I explained how to build a data store that supports version history consistently. Expanding on this, this po...

8 Best Data Version Control Tools in 2023

Towards Data Science

A complete overview revealing a diverse range of strengths and weaknesses for each data versioning tool Continue reading on Towards Data Science

Data as Incomplete History

Towards Data Science

While some may think the point is obvious, even the massive increase in data we see today still only represents a small fraction of what exists, or even what is perceived. Just look around and ask…

Introduction to Data Version Control

Towards Data Science

Any production-level system requires some kind of versioning. A single source of current truth. Any resources that are continuously updated, especially simultaneously by multiple users, require some…

Data Persistence

The Python Standard Library

Data Persistence The modules described in this chapter support storing Python data in a persistent form on disk. The pickle and marshal modules can turn many Python data types into a stream of bytes ...

How to Keep Track of Data Versions Using Versatile Data Kit

Towards Data Science

Data Engineering Learn about slow change dimensions (SCD) and how to implement SCD Type 2 in VDK Photo by Joshua Sortino on Unsplash Data is the backbone of any organization, and in today’s fast-pace...

Data Observability in Practice Using SQL, Part II: Schema & Lineage

Level Up Coding

In this article series, we walk through how you can create your own data observability monitors from scratch, mapping to five key pillars of data health. Part 1 can be found here. Part 2 of this…

Catalog external assets for a 360° data lineage

Towards Data Science

In a previous article I have shown how to automatically catalog a high number of data sets by using IBM Cloudpak for Data and in particular Watson Knowledge Catalog. A good enterprise catalog is the…

Archiving and Logging Your Use of Public Data

Towards Data Science

One worry that I always have when downloading data sets off the internet is their impermanence. Links die, data changes, ashes to ashes, dust to dust. That’s why I’ve been introducing the Wayback…