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Designing Data Transfer Systems That Scale

Data Engineering Podcast

Data transfer systems are a critical component of data enablement, and building them to support large volumes of information is a complex endeavor. With Datafold, you can seamlessly plan, translate, and validate data across systems, massively accelerating your migration project. When is DoubleCloud Data Transfer the wrong choice?

Systems 130
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Designing A Non-Relational Database Engine

Data Engineering Podcast

In this episode Oren Eini, CEO and creator of RavenDB, explores the nuances of relational vs. non-relational engines, and the strategies for designing a non-relational database. When designing and building a database, what are the initial set of questions that need to be answered? Can you describe what constitutes a NoSQL database?

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Find Out About The Technology Behind The Latest PFAD In Analytical Database Development

Data Engineering Podcast

Over the decades of research and development into building these software systems there are a number of common components that are shared across implementations. What were the design goals and constraints that led you to this architecture? This was the core of your recent re-write of the InfluxDB engine.

Database 162
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Data Migration Strategies For Large Scale Systems

Data Engineering Podcast

Summary Any software system that survives long enough will require some form of migration or evolution. When that system is responsible for the data layer the process becomes more challenging. As you have gone through successive migration projects, how has that influenced the ways that you think about architecting data systems?

Systems 130
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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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An educational side project

The Pragmatic Engineer

Juraj included system monitoring parts which monitor the server’s capacity he runs the app on: The monitoring page on the Rides app And it doesn’t end here. Juraj created a systems design explainer on how he built this project, and the technologies used: The systems design diagram for the Rides application The app uses: Node.js

Education 363
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The Roots of Today's Modern Backend Engineering Practices

The Pragmatic Engineer

If you had a continuous deployment system up and running around 2010, you were ahead of the pack: but today it’s considered strange if your team would not have this for things like web applications.  Joshua is currently VP of Product & Strategy at VMware, a cloud computing and virtualization technology company.