InfoQ Homepage Data Content on InfoQ
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Panel: Predictive Architectures in Practice
The panelists discuss the unique challenges of building and running data architectures for predictions, recommendations and machine learning.
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PCF Data Collection for TBM
Chris Busch and Raj Sivaraj overview the foundation data collection needs of Mastercard, and how data is collected and provided back to product teams with critical expense data for show-back.
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Algorithms behind Modern Storage Systems
Alex Petrov talks about modern storage system approaches, discussing storage internals, evaluation techniques to choose a database best suitable for a certain data.
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Crisis to Calm: Story of Data Validation @ Netflix
Lavanya Kanchanapalli discusses safe data propagation at Netflix, circuit breakers, data canaries and staggered rollout effective, and efficient validations via sharing data and isolating change.
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Using Data Effectively: beyond Art and Science
Hilary Parker talks about approaches and techniques to collect the most useful data, analyze it in a scientific way, and use it most effectively to drive actions and decisions.
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Data Security Dreams and Nightmares
Alex Holden shares his lessons learned by observing and assisting with data breaches, and explains how to avoid them and what can be done to emerge successfully from a bad situation.
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Spurring the Ethical Imagination
Natalie Evans Harris discusses how to incorporate ethical decision-making and identify ethical dilemmas working with data.
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How to Use Data Responsibly
Emma Prest and Clare Kitching discuss practical, pragmatic and ethical data science, talking about real world experience from the work of DataKind UK.
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Google Dataflow Codelab
Martin Gorner introduces Google Dataflow Codelab, and demos the tools and techniques they are using for data science.
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Reactive Front-Ends with RxJS and Angular
Sergi Almar introduces the fundamentals of RxJS, explaining how to manage data streams like UI events, async HTTP requests, and WebSockets / SSE in a uniform way.
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CRDTs and the Quest for Distributed Consistency
Martin Kleppmann explores how to ensure data consistency in distributed systems, especially in systems that don't have an authoritative leader, and peer-to-peer communication.
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Strangling the Monolith with a Data-driven Approach: A Case Study
Simon Duffy and David Julia discuss rewriting a monolith application using data-driven testing.
