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How Netflix Ensures Highly-Reliable Online Stateful Systems
Joseph Lynch discusses the architecture of Netflix's stateful caches and databases, including how they capacity plan, bulkhead, and deploy software to their global, full-active, data topology.
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From Runtime Efficiency to Carbon Efficiency
Michal Dorko discusses Goldman Sachs’s proprietary language, Slang, a core technology responsible for booking trades, quoting prices and analysing risk, among other use cases.
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PRQL: a Simple, Powerful, Pipelined SQL Replacement
Aljaž Mur Eržen discusses PRQL, a language that can be compiled to most SQL dialects, which makes it portable and reusable, important factors of OLAP.
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LSEG Cloud Lessons Learned: after Nearly a Decade of Being Cloud-First, What Have We Learned?
Oli Bage shares LSEG’s organizational, economic and technical tips about the journey to cloud. He talks about the CDMC standard, and where analytics might head in the future.
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Ephemeral Execution is the Future of Computing, but What about the Data?
Jerop Kipruto and Christie Warwick use Tekton to explore challenges of data gravity in ephemeral execution, discussing clean container injection mechanisms and a secure server interface.
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Managing 238M Memberships at Netflix
Surabhi Diwan discusses how the Netflix’ membership team outgrew many of its technology and architectural choices as memberships went from a few hundred thousand to 200 million.
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Simplifying Real-Time ML Pipelines with Quix Streams
Tomáš Neubauer discusses Quix Streams, an open-source Python library that helps data scientists and ML engineers to build real-time ML pipelines.
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Maximizing Performance and Efficiency in Financial Trading Systems through Vertical Scalability and Effective Testing
Peter Lawrey discusses achieving vertical scalability by minimizing accidental complexity and using an event-driven architecture.
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The Web's Next Transition
Kent C. Dodds discusses how the transition to the next version of the web will impact user experience, the development productivity, and business goals.
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Perils, Pitfalls and Pratfalls of Platform Engineering
Charity Majors discusses how platform engineering teams are different from other engineering teams, and presents some of the ways they run into traps and other troubles.
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Cognitive Digital Twins: a New Era of Intelligent Automation
Yannis Georgas presents the building blocks of a Cognitive Digital Twin and discusses the challenges and benefits of implementing one in an organization.
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Improve Feature Freshness in Large Scale ML Data Processing
Zhongliang Liang covers the impact of feature freshness on model performance, discussing various strategies and techniques that can be used to improve feature freshness.
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