InfoQ Homepage NoSQL Content on InfoQ
-
From S3 to GPU in One Copy: Rethinking Data Loading for ML Training
Onur Satici discusses Vortex, an open-source columnar file format designed to bypass CPU bottlenecks, enabling ultra-fast S3-to-GPU data streaming and dynamic query pruning at up to 60 Gbps.
/presentations/vortex-columnar-file-format-gpu-streaming/en/mediumimage/onur-satici-medium-1787813397611.jpeg)
-
Beyond Prompting: Context Engineering for Production-Grade AI
Ricardo Ferreira explains how context engineering overcomes LLM latency, cost, and memory limitations in AI systems, sharing architectural lessons from building a custom Alexa backend with Redis.
/presentations/context-engineering-redis-llm-architecture/en/mediumimage/ricardo-ferreira-medium-1787820318843.jpg)
-
Beyond Speed Limits: Exploring the Performance Power of Valkey
Viktor Vedmich explains how to achieve sub-millisecond application latency using Valkey, an open-source, high-performance in-memory fork of Redis supported by AWS.
/presentations/valkey-datastore/en/mediumimage/viktor-vedmich-medium-1780058022702.jpeg)
-
Stripe’s Docdb: How Zero-Downtime Data Movement Powers Trillion-Dollar Payment Processing
Jimmy Morzaria explains how Stripe scales its MongoDB infrastructure to process $1.4 trillion in payments. He shares the engineering behind their zero-downtime data movement platform and DocDB.
/presentations/docdb-online-database/en/mediumimage/jimmy-morzaria-medium-1776864724742.jpeg)
-
Reimagining Platform Engagement with Graph Neural Networks
Mariia Bulycheva explains how Zalando utilized Graph Neural Networks to move beyond tabular data, modeling higher-order user-item interactions to optimize long-term engagement and click probability.
/presentations/graph-neural-networks/en/mediumimage/Mariia-Bulycheva-medium-1775048997053.jpeg)
-
Open Source, Community, and Consequence: the Story of MongoDB
Andrew Davidson and Akshat Vig share the "MongoDB Way", discussing how to disrupt a 50-year database legacy by leveraging the document model, community trust, and rapid, public iteration.
/presentations/MongoDB-evolution/en/mediumimage/AkshatVig-AndrewDavidson-medium-1773153562704.jpg)
-
Chatting with Your Knowledge Graph
Jonathan Lowe discusses how to enable an LLM to chat with a structured graph database. He explains the process of using semantic search and knowledge graphs to answer natural language questions.
/presentations/llm-graph-database/en/mediumimage/jonathan-lowe-medium-1756898332000.jpg)
-
LIquid: a Large-Scale Relational Graph Database
Scott Meyer discusses LIquid, the graph database built to host LinkedIn, serving a ~15Tb graph at ~2M QPS.
/presentations/liquid-graph/en/mediumimage/ScottMeyer-medium-1716451852205.jpg)
-
Amazon DynamoDB Distributed Transactions at Scale
Akshat Vig explains how transactions were added to Amazon DynamoDB using a timestamp-based ordering protocol to achieve low latency for both transactional and non-transactional operations.
/presentations/dynamodb-transactions/en/mediumimage/medium-1704799657381.jpg)
-
Amazon DynamoDB: Evolution of a Hyperscale Cloud Database Service
Akshat Vig presents Amazon’s experience operating DynamoDB at scale and how the architecture continues to evolve to meet the ever-increasing demands of customer workloads.
/presentations/dynamodb-scale-aws/en/mediumimage/medium-1686728730481.jpg)
-
Change Data Capture for Distributed Databases @Netflix
Raghuram Onti Srinivasan covers the challenges associated with capturing CDC events from Cassandra, discussing the Flink ecosystem and the use of RocksDB.
/presentations/netflix-cdc-events-cassandra/en/mediumimage/netflix-cdc-events-cassandra-1620163437668.jpg)
-
Turnkey Multi-Region, Active-Active Session Stores with Steeltoe, Redis Enterprise, and PAS
Adi Foulger provides insights into the Redis Enterprise architecture and demos active/active Redis clusters across two geo-distributed Pivotal Platform foundations.
/presentations/redis-clusters-active/en/mediumimage/Adibig-1593945694176.JPG)