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Development

Featured in Development

How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework

Vivek Yadav, an engineering manager from Stripe, shares his experience in building a testing system based on multi-year worth of data. He shares insights into why Apache Spark was the choice for creating such a system and how it fits in the "traditional" engineering practices.

All in development

Architecture & Design

Featured in Architecture & Design

Spec Driven Development: When Architecture Becomes Executable

Spec-Driven Development inverts traditional architecture by making specifications executable and authoritative. It transforms declared intent into validated code through AI generation and provides architectural determinism. It eliminates drift through continuous enforcement, but demands new engineering discipline in schema design and contract-first reasoning.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Somtochi Onyekwere on Distributed Data Systems, Eventual Consistency and Conflict-free Replicated Data Types

In this podcast, InfoQ spoke with Somtochi Onyekwere on recent developments in distributed data systems, how to achieve fast, eventually consistent replication across distributed nodes, and how Conflict-free Replicated Data Type (CRDTs) can help with conflict resolution when managing data.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Holistic Engineering: Organic Problem Solving for Complex Evolving Systems

Vanessa Formicola discusses how "invisible" forces shape our code and architecture. She shares patterns like "Cirque du Soleil coding" and "Shared Kitchen Sinks," explaining why technical problems often have social roots. Architects and leaders will learn how to use Social Decision Records (SDRs) and holistic modeling to make the implicit explicit and drive success.

All in culture-methods

DevOps

Featured in DevOps

Platform-as-a-Product: Declarative Infrastructure for Developer Velocity

Declarative infrastructure config hides complexity, enabling developers to focus on application code. Unified YAML per service allows early cost validation, while independent CI with centralized CD balances team autonomy and deployment consistency. This standardized approach scales across organizations, making infrastructure invisible and operations automatic.

All in devops

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Learn how leading engineering teams run AI in production—reliably, securely, and at scale.

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InfoQ Homepage Interviews Emil Eifrem on NoSQL, Graph Databases, and Neo4j

Emil Eifrem on NoSQL, Graph Databases, and Neo4j

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22:13

Bio

Emil Eifrem is CEO of Neo Technology and co-founder of the Neo4j project. Committed to sustainable open source, he guides Neo along a balanced path between free availability and commercial reliability. Emil is a frequent conference speaker and author on NoSQL databases.

About the conference

Neo4j is a robust (fully ACID) transactional property graph database. Due to its graph data model, Neo4j is highly agile and blazing fast. For connected data operations, Neo4j runs a thousand times faster than relational databases.

Feb 01, 2013

Interview with

Emil Eifrem

by

Nitin Bharti

BT