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Zenlytic Is Building You A Better Coworker With AI Agents

Data Engineering Podcast

Summary The purpose of business intelligence systems is to allow anyone in the business to access and decode data to help them make informed decisions. The team at Zenlytic have leaned on the promise of large language models to build an AI agent that lets you converse with your data. Are data agents harder to build?

Building 278
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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. This episode is supported by Code Comments, an original podcast from Red Hat. My thanks to the team at Code Comments for their support.

Systems 130
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Theming the Zalando Design System

Zalando Engineering

As a design system evolves alongside with the brand it represents, there are often multiple occasions when a need to introduce variations arises. The previous article on this blog gives a wider overview of the Zalando Design System. The previous article on this blog gives a wider overview of the Zalando Design System.

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Build faster with Buck2: Our open source build system

Engineering at Meta

Buck2, our new open source, large-scale build system , is now available on GitHub. Buck2 is an extensible and performant build system written in Rust and designed to make your build experience faster and more efficient. Why rebuild Buck? This decision eliminates many types of bugs and increases parallelism.

Building 142
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A Tour Around Buck2, Meta's New Build System

Tweag

Buck2 is a from-scratch rewrite of Buck , a polyglot, monorepo build system that was developed and used at Meta (Facebook), and shares a few similarities with Bazel. As you may know, the Scalable Builds Group at Tweag has a strong interest in such scalable build systems. fix the code # fix code 7.

Systems 138
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Building Applications With Data As Code On The DataOS

Data Engineering Podcast

At the Modern Data Company they created the DataOS platform as a means of driving your full analytics lifecycle through code, while providing automatic knowledge graphs and data discovery. In this episode Srujan Akula explains how the system is implemented and how you can start using it today with your existing data systems.

Coding 130
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Introducing Cloudera DataFlow Designer: Self-service, No-Code Dataflow Design

Cloudera

Now, we shift focus on the needs of developers and addressing the challenges they face when building dataflows in the cloud. We’ve observed organizations using more and more data sources and destinations , as well as expecting a more diverse range of developers to build data movement flows. Enabling self-service for developers.