InfoQ Homepage Data Content on InfoQ
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Responding Rapidly When You Have 100GB+ Data Sets in Java
Peter Lawrey discusses data-driven reactive systems, profiling latency distribution in such an environment, finding rare bugs, implementing resilience and monitoring.
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Evolving a Data System
Simon Metson approaches the problem of evolving a data system; some patterns and anti-patterns both technical (polyglot systems, lambda architectures) and organisational (data silos, lava layers).
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Don’t Let Data Gravity Crush Your Infrastructure
Dave McCrory talks about what is Data Gravity, how it affects performance and portability and why these effects are amplified when there are larger volumes of data.
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Consistency without Consensus: CRDTs in Production at SoundCloud
Peter Bourgon provides a practical introduction to Conflict-free Replicated Data Types (CRDTs) and describes a production CRDT system built at SoundCloud to serve several product features.
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Following Google: Don’t Follow the Followers, Follow the Leaders
Mark Madsen explains the history of databases and data processing over the past decades and looks where the industry will go.
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Structure, Personalization, Scale: A Deep Dive into LinkedIn Search
The authors discuss some of the unique challenges they've faced delivering highly personalized search over semi-structured data at massive scale.
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Leveraging Big Data for Payment Risk Management
John Canfield discusses the changing payment ecosystem, innovations in mining and organizing unstructured data from many sources, and approaches to deciding for loss minimization and user experience.
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Graph Search: The Power of Connected Data
Ian Robinson takes a look at how size, structure and connectedness have converged to change the way we work with data, showing some new opportunities with connected data illustrated with graph search.
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How Shutl Delivers Even Faster Using Neo4J
Volker Pacher, Sam Phillips present key differences between relational databases and graph databases, and how they use the later to model a complex domain and to gain insights into their data.
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Employing Data Science to Enhance the Facebook Experience
Justin Moore shares how Facebook's own advances in Data Science have solved intricate location technology problems and how these lessons can be applied to other verticals to achieve similar gains.
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Open Bank Project
Simon Redfern presents how the Open Bank Project innovates by leveraging open APIs, open source and open data, making banking data more accessible via an ecosystem of apps and services.
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Building a Distributed Data Ingestion System with RabbitMQ
Alvaro Videla shows how to build a system that can ingest data produced at separate locations and replicate it across regions using RabbitMQ.
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