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Building a Scalable Search Architecture

Confluent

Software projects of all sizes and complexities have a common challenge: building a scalable solution for search. Building a resilient and scalable solution is not always easy. It involves many moving parts, from data preparation to building indexing and query pipelines. You might be wondering, is this a good solution?

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Use Consistent And Up To Date Customer Profiles To Power Your Business With Segment Unify

Data Engineering Podcast

Segment created the Unify product to reduce the burden of building a comprehensive view of customers and synchronizing it to all of the systems that need it. In this episode Kevin Niparko and Hanhan Wang share the details of how it is implemented and how you can use it to build and maintain rich customer profiles.

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Data Engineering Weekly #182

Data Engineering Weekly

link] Chip Huyan: Building A Generative AI Platform We can’t deny that Gen-AI is becoming an integral part of product strategy, pushing the need for platform engineering. The blog is an excellent summarization of the common patterns emerging in GenAI platforms. Pipeline breakpoint feature.

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Rebuilding Netflix Video Processing Pipeline with Microservices

Netflix Tech

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process.

Process 95
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Data Engineering Weekly #174

Data Engineering Weekly

Learn More → AI Verify Foundation: Model AI Governance Framework for Generative AI Several countries are working on building governance rules for Gen AI. The author highlights the structured approach to building data infrastructure, data management, and metrics. TIL that the queryable state is deprecated, which surprises me too.

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Data News — Week 24.37

Christophe Blefari

NVidia released Eagle a vision-centric multimodal LLM — Look at the example in the Github repo, given an image and a user input the LLM is able to answer things like "Describe the image in detail" or "Which car in the picture is more aerodynamic" based on a drawing. How the UK football rely heavily on data?

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Data Engineering Weekly #161

Data Engineering Weekly

Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 4) Building Data Products and why should you? link] Nvidia: What Is Sovereign AI?