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sbt, a widely used build tool for Scala projects; Spark Framework is designed to handle, and process big-data and it solely supports Scala; Neo4j is a java spring framework supported by Scala with domain-specific functionality, analytical capabilities, graph algorithms, and many more; Play!, an open-source Web application framework that ...
Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, .NET [16] and R) centered on the RDD abstraction (the Java API is available for other JVM languages, but is also usable for some other non-JVM languages that can connect to the ...
Chisel (an acronym for Constructing Hardware in a Scala Embedded Language [1]) is an open-source hardware description language (HDL) used to describe digital electronics and circuits at the register-transfer level. [2] [3] Chisel is based on Scala as a domain-specific language (DSL).
Other people's benchmark data may have some value to others, but proper interpretation brings many challenges. The Computer Language Benchmarks Game site warns against over-generalizing from benchmark data, but contains a large number of micro-benchmarks of reader-contributed code snippets, with an interface that generates various charts and ...
SPARK is a formally defined computer programming language based on the Ada programming language, intended for the development of high integrity software used in systems where predictable and highly reliable operation is essential. It facilitates the development of applications that demand safety, security, or business integrity.
Lift is an expressive framework for writing web applications. It draws upon concepts from peer frameworks such as Grails, Ruby on Rails, Seaside, Wicket and Django.It favors convention over configuration in the style of Ruby on Rails, although it does not prescribe the model–view–controller (MVC) architectural pattern.
It was initially used by Twitter and emerged from a wide variety of data storage problems. Gizzard operated as a middleware networking service that ran on the Java Virtual Machine. It managed partitioning data across arbitrary backend datastores, which allowed it to be accessed efficiently.
[1] The data part of the DCI architecture is its (relatively) static data model with relations. The data design is usually coded up as conventional classes that represent the basic domain structure of the system. These classes are barely smart data, [1] [2] and they explicitly lack the functionality that is peculiar to support of any particular ...