InfoQ Homepage NoSQL Content on InfoQ
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Caching, NoSQL & Grids - What the Banks Can Teach Us
John Davies shares insight into SQL, NoSQL, grid, virtualization and caching technologies from his personal experience using them in financial institutions.
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Need Some Cache? Redis in Depth
Chris Meadows introduces Redis, explaining what it is good for, what does it take to be run, and what’s under the hood through a social networking code example.
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Connecting Millions of Mobile Devices to the Cloud
Damien Katz explains how Couchbase Syncpoint provides real time data synchronization capabilities between multiple mobile devices and the cloud.
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Working with MIG
David Dawson and Marcus Kern share lessons learned creating a high-performance mass audience participation system using NoSQL.
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Future of Data Architecture: NoSQL, Big Data, Linked Data and the Cloud
In this panel, Siddharth Anand, Dwight Merriman, Ashish Thusoo, Damien Katz, Tom Wilkie and Akmal Chaudhri (moderator) answer questions on NoSQL from the audience.
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Choose the "Right" Database and NewSQL: NoSQL Under Attack
Talk #1: Stefan Edlich suggests choosing a NoSQL DB after answering about 70 questions in 6 categories, and building a prototype. Talk #2: Edlich presents NewSQL solutions counteracting NoSQL.
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Panel: How Banks Are Managing Their Data
Frank Tarsillo , John Davies, Jon Vernon and Ari Zilka (moderator) discuss the technologies and architectures used these days to manage large amounts of sensitive data in top financial institutions.
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Where Does Big Data Meet Big Database?
Ben Stopford takes a look at the Big Data movement, its development and implications, reflecting on a future where NoSQL solutions and traditional ones coexist.
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Bringing Riak to the Mobile Platform
Kresten Krab Thorup discusses bringing Riak to mobile. He covers Riak’s data model, BucketDB – a Riak client-, and the protocol used to synchronize the data on the device between BucketDB and Riak.
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NoSQL Database Technology: A Survey and Comparison of Systems
James Phillips presents the origins of NoSQL, followed by a comparison of various NoSQL solutions and ending with an architect’s view of Couchbase.
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The Challenge of Connected Data
Jim Webber talks about the data of these days, how integrated data looks, how to model it using actual data stores and the implications of this modeling.
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NetApp Case Study
Kumar Palaniapan and Scott Fleming present how NetApp deals with big data using Hadoop, HBase, Flume, and Solr, collecting and analyzing TBs of log data with Think Big Analytics.
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