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Reducing The Barrier To Entry For Building Stream Processing Applications With Decodable

Data Engineering Podcast

Summary Building streaming applications has gotten substantially easier over the past several years. Decodable was built with a mission of eliminating all of the painful aspects of developing and deploying stream processing systems for engineering teams. How can you get the best results for your use case?

Process 182
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Building A Data Mesh Platform At PayPal

Data Engineering Podcast

Jean-Georges Perrin was tasked with designing a new data platform implementation at PayPal and wound up building a data mesh. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Are you tired of dealing with the headache that is the 'Modern Data Stack'?

Building 147
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Building A System Of Record For Your Organization's Data Ecosystem At Metaphor

Data Engineering Podcast

Summary Building a well managed data ecosystem for your organization requires a holistic view of all of the producers, consumers, and processors of information. The team at Metaphor are building a fully connected metadata layer to provide both technical and social intelligence about your data.

Systems 100
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Build More Reliable Distributed Systems By Breaking Them With Jepsen

Data Engineering Podcast

Summary A majority of the scalable data processing platforms that we rely on are built as distributed systems. Kyle Kingsbury created the Jepsen framework for testing the guarantees of distributed data processing systems and identifying when and why they break. Can you start by describing what the Jepsen project is?

Systems 100
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Build Confidence In Your Data Platform With Schema Compatibility Reports That Span Systems And Domains Using Schemata

Data Engineering Podcast

Summary Data engineering systems are complex and interconnected with myriad and often opaque chains of dependencies. As they scale, the problems of visibility and dependency management can increase at an exponential rate. In this episode he shares the design of the project and how it fits into your development practices.

Systems 100
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Building Enterprise Big Data Systems At LEGO

Data Engineering Podcast

Summary Building internal expertise around big data in a large organization is a major competitive advantage. In this episode Jesper Søgaard and Keld Antonsen share the story of starting and growing the big data group at LEGO. My understanding is that the big data group at LEGO is a fairly recent development.

Big Data 100
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Building An Internal Database As A Service Platform At Cloudflare

Data Engineering Podcast

Summary Data persistence is one of the most challenging aspects of computer systems. In the era of the cloud most developers rely on hosted services to manage their databases, but what if you are a cloud service? What are the different methods that you have used for managing database instances? Why Postgres?

Database 130