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Design Considerations for Cloud-Native Data Systems

Confluent

Twenty years ago, the data warehouses of choice were Oracle and Teradata. Since then, growth and innovation has shifted to the cloud, and a new generation of data systems have […].

Systems 113
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5 Database Schema Design Example: Critical Practices & Designs

Hevo

As a result, organizations should focus on designing superior databases to meet the objectives of projects without losing direction. Consequently, Database Schema Design Examples and the Database Schema Example have […] Databases are the cornerstone of almost all business projects.

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How Systems Thinking Can Be Applied To Agile Transformations

Knowledge Hut

Applying systems thinking views a system as a set of interconnected and interdependent components defined by its limits and more than the sum of their parts (subsystems). When one component of a system is altered, the effects frequently spread across the entire system. are the main objectives of systems thinking.

Systems 98
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Designing a "low-effort" ELT system, using stitch and dbt

Start Data Engineering

Intro A very common use case in data engineering is to build a ETL system for a data warehouse, to have data loaded in from multiple separate databases to enable data analysts/scientists to be able to run queries on this data, since the source databases are used by your applications and we do not want these analytic queries to affect our application (..)

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

Speaker: Dr. Greg Loughnane and Chris Alexiuk

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 Overview of Kanban System Examples

Knowledge Hut

In the early 1940s, Toyota automotive in Japan used a simple planning system to manage and control work and inventory at each stage optimally. It is related to lean and just-in-time JIT production, where it is used as a scheduling system to indicate what to produce, when, and how much. How does Kanban System work?

Systems 52
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Supporting Diverse ML Systems at Netflix

Netflix Tech

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 90