InfoQ Homepage Infrastructure Content on InfoQ
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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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The Evolution of Integration
Paul Fremantle discusses the evolution of EAI, comparing the latest approaches, suggesting using Async Messaging, EDA, APIs, and doing high volumes, and underlining that evolution is not monotonic.
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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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Securing the Cloud: Identity Management and Network Security in the Cloud
Mark Ryland presents and demoes identity and access management concepts as used in the cloud and EC2 security groups and packet networking inside the Amazon AWS.
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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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Keynote: How the 10 Key Lessons from Java and C++History Inform the Cloud
Cameron Purdy discusses how Java’s strengths over C++ helped it prevail in the Internet era, and how the history lessons of that time may help us understand what to do in the new cloud computing era.
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Keynote: MythBusters 2.0 - Mission Critical Cloud Computing @ NASA
Khawaja Shams presents how NASA’s JPL uses cloud computing, and evaluates some of the existing cloud computing myths in the MythBusters style.
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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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Storm: Distributed and Fault-tolerant Real-time Computation
Nathan Marz discusses Storm concepts –streams, spouts, bolts, topologies-, explaining how to use Storms’ Clojure DSL for real-time stream processing, distributed RPS and continuous computations.
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