Gunter Dueck wonders how are we preparing for the new society marked by cloud computing and big data in which jobs are automated and mediocre abilities are no longer accepted?
Richard Astbury overviews and demoes a Node.js app using a LevelDB database.
Trisha Gee demoes building a web application using Java, HTML5, Angular.js, Mongo.DB, Groovy and microservices in one hour.
Chris Mattmann covers four critical areas emerging in the context of NASA projects in radio astronomy; in snow hydrology and regional climate modeling; climate science, and in intelligence activities that together we must significantly advance to deal with the data deluge across NASA and government agencies.
Nathan Marz discusses building NoSQL-based data systems that are scalable and easy to reason about.
Akmal B. Chaudhri introduces Apache™ Hadoop® 2.0 and Yet Another Resource Negotiator (YARN).
Eva Andreasson presents typical categories of problems that are commonly solved using Hadoop and also some concrete examples in each category.
Ian Robinson discusses graphs data structures, some of the queries that can extract data from them, and tools and techniques to work with graph data.
Sean Owen provides examples of operational analytics projects in the field, presenting a reference architecture and algorithm design choices for a successful implementation based on his experience with customers and Oryx/Cloudera.
Erik Hinton discusses the successes and failures of making a cultural shift in the newsroom at NYT to accept Haskell and some of the projects Haskell has been used for.
Chris Anderson provides code samples on how to build offline applications for mobile platforms based on the NoSQL document model, and how to contribute to the open source projects behind this movement.
Matthew Moloney discusses using F# and .NET inside Excel, demonstrating doing big data, cloud computing, using GPGPU and compiling F# Excel UDFs.
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