Julien Le Dem

Co-Founder & CTO


Kevin Mellott

Asst. Director Data Engineering

What we're learning from capturing and tracing the lineage of key datasets at Northwestern Mutual

Kevin Mellott, Asst. Director Data Engineering @ Northwestern Mutual

Julien Le Dem, Co-Founder & CTO @ Datakin

Context is important, especially when it comes to data. Once we understand where a dataset comes from and how it’s consumed - in other words, its data lineage - we can make decisions about it more quickly and decisively.
Using OpenLineage, the team at Northwestern Mutual has begun to capture and trace the lineage of key datasets. This makes it easier to find the root cause of failures and predict the effect of changes before they’re made.
In this informal chat, Julien Le Dem from OpenLineage and Kevin Mellott from Northwestern Mutual will discuss how they approach data lineage and what they’ve learned along the way.

What is Data Agility Day?

Simply put, Data Agility Day is a day to examine ways to improve value extraction from data.

Many companies still struggle with delivering data projects on time, at scale, and with useful results.

Our mission is the persistent evolution of agile data methods, strategies, and team enablement.

Sessions will cover how individuals and teams at data-savvy organizations are achieving the agility that enables decisions to be made faster and create competitive advantages.

What is data agility?

Data agility is the ability to shorten the distance between data and the decision-making that drives action and empowers businesses to be insight-driven.

As the needs for insights grow, data teams are looking to increase their data management workflows and effectiveness - in essence, run data agile organizations.

On October 21st, we'll bring together data experts (engineers, developers, scientists, architects, and analysts) from leading companies to lead in-depth conversations, case studies, and strategies on exactly how to achieve true data agility.

Who attends Data Agility Day?

Data engineers, data developers, data architects, and data scientists as well as BI teams, marketing analytics professionals, innovation-focused executives, and other data science practitioners and leadership.

Join us for sessions surrounding:
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  • Data orchestration
  • Data visualization
  • Data observability
  • Data governance
  • Data management
  • Data ingestion

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