InfoQ Homepage Database Content on InfoQ
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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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How Facebook Scales Big Data Systems
Jeff Johnson introduces Apollo, a hierarchical NoSQL data system meant to deal with Facebook's distributed storage needs.
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Data Modeling for Scale with Riak Data Types
Sponsored by Basho. Sean Cribbs discusses the theory behind several rich data types introduced with Riak 2.0 and then walking through some example applications that use them in popular languages.
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Migrating to Cloud Native with Microservices
Adrian Cockcroft discusses strategies, patterns and pathways to perform a gradual migration towards modern enterprise applications based on cloud, microservices and denormalized NoSQL databases.
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Analyzing Big Data On The Fly
Shawn Gandhi overviews real-time processing use cases, and how developers are using AWS Kinesis to shift from a traditional batch-oriented approach to a continual real-time data processing model.
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How WebMD Maintains Operational Flexibility with NoSQL
Rajeev Borborah, Matthew Wilson discuss using NoSQL at WebMD -architecture, benefits, roadmap-, with details on caching and key-value storage implementation behind a few of the WebMD applications.
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Let Me Graph That For You: Building a Graph Database Application
Ian Robinson introduces tools and techniques for building a system around a graph engine, experiment with graph data, and using it in an application.
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The Game of Big Data: Scalable, Reliable Analytics Infrastructure at KIXEYE
Randy Shoup describes KIXEYE's analytics infrastructure from Kafka queues through Hadoop 2 to Hive and Redshift, built for flexibility, experimentation, iteration, testability, and reliability.
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Full Stack JavaScript
Grant Shipley demos using JavaScript and Node.js to develop an iOS and Android application using MongoDB as backend.
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The Next Wave of SQL-on-Hadoop: The Hadoop Data Warehouse
Marcel Kornacker presents a case study of an EDW built on Impala running on 45 nodes, reducing processing time from hours to seconds and consolidating multiple data sets into one single view.
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Finding the Needle in a Big Data Haystack
In this solutions track talk, sponsored by Cloudera, Eva Andreasson discusses how search and Hadoop can help with some of the industry's biggest challenges. She introduces the data hub concept.
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Cool and Ripe for Exploitation: Search-Based Software Engineering (SBSE)
Christopher Simons suggests using SBSE to iterated through multiple possible solutions and select the one that performs the best, offering insight into some available tools and techniques.
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