InfoQ Homepage Architecture & Design Content on InfoQ
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Graham Lee on Application Security, Sandboxing on OS X, Mobile Application Development
Graham Lee discusses how to design and write secure (mobile) applications, the concept of sandboxing in general and on OS X, Objective-C and Smalltalk, and much more.
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Max Sklar on Machine Learning at Foursquare
Max Sklar talks about machine learning at Foursquare, the use of Bayesian Statistics and other methods to build Foursquare's recommendation system and much more.
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Rich Hickey and Justin Sheehy about Datastores, NoSql and CAP
Rich Hickey and Justin Sheehy talk about scalability and transactionability of datastores. They explain tradeoffs for achieving read and/or write scalability on top of Datomic and Riak.
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Phil Trelford on Functional Architectures, F#
Phil Trelford discusses how to design large scale applications with functional concepts, the state of the F# community and much more.
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Mike Stolz on NoSQL and Big Data Design Patterns
In this interview recorded at QCon New York 2012 Conference, VMWare's Mike Stolz talks about the design patterns that help with processing and analyzing the unstructured data. He also explains the patterns for combining Fast Data with Big Data in finance applications as well as the role of in-memory databases in NoSQL database space.
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Markus Völter on DSLs, Modeling, MPS, Mbeddr
Markus Völter explains the concepts of the MPS Language Workbench, how it enabled the mbeddr project, approaches to DSLs and how to combine them, programs vs models, formal verification, and more.
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Andrew Watson On The State of OMG, UML, CORBA, DDS
Andrew Watson talks about the work of the OMG, where CORBA is alive and well (hint: in your car), UML and UML Profiles vs. custom Modeling languages, DDS and other middleware, and much more.
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Big Data Architecture at LinkedIn
In this interview at QCon London, LinkedIn’s Sid Anand discusses the problems they face when serving high-traffic, high-volume data. Sid explains how they’re moving some use cases from Oracle to gain headroom, and lifts the hood on their open source search and data replication projects, including Kafka, Voldemort, Espresso and Databus.
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Optimizing for Big Data at Facebook
Hive co-creator Ashish Thusoo describes the Big Data challenges Facebook faced and presents solutions in 2 areas: Reduction in the data footprint and CPU utilization. Generating 300 to 400 terabytes per day, they store RC files as blocks, but store as columns within a block to get better compression. He also talks about the current Big Data ecosystem and trends for companies going forward.
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Rich Hickey on Datomic: Datalog, Databases, Persistent Data Structures
Rich Hickey explains the ideas behind the Datomic database: why Datalog is used as the query language, the functional programming concepts at its core, the role of time in the DB and much more.
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Jim Highsmith on Adaptive Leadership
Recorded at the 10th anniversary of the agile manifesto signing, Jim Highsmith discusses how he works with executive management teams to introduce and integrate agile techniques into enterprise organizations from both the business and IT sides. He defines adaptive leadership and discuses adaptive ALM, continuous delivery, lean and Kanban methods.
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Hadoop and NoSQL in a Big Data Environment
Ron Bodkin of Big Data Analytics discusses early adoption of Hadoop, NoSQL and big data technologies. He discusses common patterns and explains how developers can write low-level primitives to optimize MapReduce function. Other topics include Hive, Pig, multi tenancy, and security.
