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"Unlike most client libraries dealing with HAL REST APIs, Hybind provides a high-level approach similar to what Object Relational Mapping (ORM) frameworks are for databases. When using Spring Data REST in the server, it is amazing how the amount of code to write is reduced to a minimum. However, a significant amount of repeated boilerplate is still required in the JavaScript client to manipulate the resources and map them to the client-side model. That's why this library exists. It enriches plain JavaScript objects with a convenient API so that performing REST requests is as easy as calling methods directly on the model objects. It is optimized for Spring Data REST, but should work with other HAL APIs following similar conventions."

Functional is a library for functional programming in JavaScript. It defines the standard higher-order functions such as map, reduce (aka foldl), and select (aka filter). It also defines functions such as curry, rcurry, and partial for partial function application; and compose, guard, and until for function-level programming. And all these functions accept strings, such as 'x -> x+1', 'x+1', or '+1' as synonyms for the more verbose function(x) {return x+1}.

"Apache Hama is a pure BSP (Bulk Synchronous Parallel) computing framework on top of HDFS (Hadoop Distributed File System) for massive scientific computations such as matrix, graph and network algorithms. Today, many practical data processing applications require a more flexible programming abstraction model that is compatible to run on highly scalable and massive data systems (e.g., HDFS, HBase, etc). A message passing paradigm beyond Map-Reduce framework would increase its flexibility in its communication capability. Bulk Synchronous Parallel (BSP) model fills the bill appropriately. Some of its significant advantages over MapReduce and MPI are: * Supports message passing paradigm style of application development * Provides a flexible, simple, and easy-to-use small APIs * Enables to perform better than MPI for communication-intensive applications * Guarantees impossibility of deadlocks or collisions in the communication mechanisms"

"Read and write data to/from Elasticsearch within Hadoop/MapReduce libraries. Automatically converts data to/from JSON. Supports MapReduce, Cascading, Hive and Pig."

"HPaste unlocks the rich functionality of HBase for a Scala audience. In so doing, it attempts to achieve the following goals: Provide a strong, clear syntax for querying and filtration Perform as fast as possible while maintaining idiomatic Scala client code -- the abstractions should not show up in a profiler! Re-articulate HBase's data structures rather than force it into an ORM-style atmosphere. A rich set of base classes for writing MapReduce jobs in hadoop against HBase tables. Provide a maximum amount of code re-use between general Hbase client usage, and operation from within a MapReduce job. Use Scala's type system to its advantage--the compiler should verify the integrity of the schema. Be a verbose DSL--minimize boilerplate code, but be human readable!"

Excelente artículo. Habría que distribuirlo por unas cuantas oficinas.