InfoQ Homepage Database Content on InfoQ
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Understanding Indexing Without Needing to Understand Data Structures
Zardosht Kasheff suggest using 3 rules for indexing SQL databases: Retrieve less data, Avoid point queries, and Avoid sorting.
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Building Cloud Services with Riak
Andy Gross reports on how Basho used Riak and Erlang to build their cloud storage service.
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Not Your Father’s Transaction Processing
Michael Stonebraker compares how RDBMS, NoSQL and NewSQL support today’s big data transaction processing needs. He also introduces VoltDB, an in-memory NewSQL database.
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Runaway Complexity in Big Data, and a Plan to Stop It
Nathan Marz outlines several sources of complexity introduced in data systems - Lack of human fault-tolerance, Conflation of data and queries, Schemas done wrong - and what can be done to avoid them.
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Spring Data - NoSQL - No Problems...
Peter Bell introduces 4 NoSQL categories –Key-Value, Document, Column, Graph - and explains how one can use Spring Data to work with such data stores.
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MongoDB - Born in the Cloud
Ross Lawley introduces MongoDB, explaining why it is a good solution for cloud deployment.
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Sweden's Next Top Data Model
Ian Plosker explains why a data model needs to follow the query patterns when using a NoSQL storage solution.
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Writing Datomic in Clojure
Rich Hickey introduces Datomic, including architectural and implementation details.
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MapReduce and Its Discontents
Dean Wampler discusses the strengths and weaknesses of MapReduce, and the newer variants for big data processing: Pregel and Storm.
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The Impedance Mismatch is Our Fault
Stuart Dabbs Halloway explains what the impedance mismatch is and what can be done to solve it in the context of RDBMS, OOP, and NoSQL.
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View Server: Delivering Real-Time Analytics for Customer Service
Richard Tibbetts presents a three-tier architecture for real-time data staging analysis, storing the results and delivering them to clients as a service accessible through a variety of interfaces.
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Saving the World (from|with) Big Data
Bruce Durling discusses the impact of cloud computing on the climate and what can be done to reduce the amount of CO2 generated by data centers in order to process big data.
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