Remove Data Management Remove Data Pipeline Remove Data Workflow Remove Metadata
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Making The Total Cost Of Ownership For External Data Manageable With Crux

Data Engineering Podcast

In this episode Crux CTO Mark Etherington discusses the different costs involved in managing external data, how to think about the total return on investment for your data, and how the Crux platform is architected to reduce the toil involved in managing third party data. Tired of deploying bad data?

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Bringing The Power Of The DataHub Real-Time Metadata Graph To Everyone At Acryl Data

Data Engineering Podcast

Summary The binding element of all data work is the metadata graph that is generated by all of the workflows that produce the assets used by teams across the organization. The DataHub project was created as a way to bring order to the scale of LinkedIn’s data needs. How is the governance of DataHub being managed?

Metadata 100
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An Exploration Of What Data Automation Can Provide To Data Engineers And Ascend's Journey To Make It A Reality

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

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What "Data Lineage Done Right" Looks Like And How They're Doing It At Manta

Data Engineering Podcast

In this episode Ernie Ostic shares the approach that he and his team at Manta are taking to build a complete view of data lineage across the various data systems in your organization and the useful applications of that information in the work of every data stakeholder. Atlan is the metadata hub for your data ecosystem.

IT 100
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Understanding The Immune System With Data At ImmunAI

Data Engineering Podcast

Summary The life sciences as an industry has seen incredible growth in scale and sophistication, along with the advances in data technology that make it possible to analyze massive amounts of genomic information. RudderStack’s smart customer data pipeline is warehouse-first.

Systems 100
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Effective Pandas Patterns For Data Engineering

Data Engineering Podcast

He recently wrote a book on effective patterns for Pandas code, and in this episode he shares advice on how to write efficient data processing routines that will scale with your data volumes, while being understandable and maintainable. You can observe your pipelines with built in metadata search and column level lineage.

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DataOps Architecture: 5 Key Components and How to Get Started

Databand.ai

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.