InfoQ Homepage Database 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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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 OAuth2-Enabled, Multi-Tenant Applications with Spring Security
Robert Winch explains how to secure a multi-tenant application with Spring Security and how to enable OAuth 2.
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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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Acceleration in the Wild with Dataflow Computing
James Spooner discusses the need to make good use of the underlying silicon using Dataflow computing and parallelism to improve throughput and latency for optimized data processing performance.
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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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The Design of Datomic
Rich Hickey discusses the design decisions made for Datomic, a database for JVM languages: what problems they were trying to solve with it, the solutions chosen, and their implementations.
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Oracle Public Cloud Architecture
Tyler Jewell discusses the multi-tenancy model and elasticity solution implemented by Oracle Public Cloud which provides a database, Java and a number of sales and marketing applications as services.
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