InfoQ Homepage Big Data 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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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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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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Design Patterns for Combining Fast Data with Big Data in Finance
Mike Stolz shares insight in combining the benefits of analyzing Big Data with those of grabbing the opportunities offered by Fast Data in the Financial Services industry.
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Fighting the 21st Century Fraudster
Kunal Bhasin discusses in-memory and Big Data computing techniques used for the detection of banking fraud in real time.
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Big Data Architectures at Facebook
Ashish Thusoo presents the data scalability issues at Facebook and the data architecture evolution from EDW to Hadoop to Puma.
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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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