Group items tagged

"Figaro is a probabilistic programming language that supports development of very rich probabilistic models and provides reasoning algorithms that can be applied to models to draw useful conclusions from evidence. Both model representation and reasoning algorithm development can be challenging tasks. Figaro makes it possible to express probabilistic models using the power of programming languages, giving the modeler the expressive tools to create a wide variety of models. Figaro comes with a number of built-in reasoning algorithms that can be applied automatically to new models. In addition, Figaro models are data structures in the Scala programming language, which is interoperable with Java, and can be constructed, manipulated, and used directly within any Scala or Java program."

"Datomic is a distributed database designed to enable scalable, flexible and intelligent applications, running on next-generation cloud architectures. It does this by: Bringing declarative data manipulation into the application, and the data with it Getting time, process and perception right Process (writes) require coordination Perception (reads) require none The past doesn't change Leveraging immutability, and a sound model of state Datomic has: ACID Transactions Joins A sound data model A logical query language - Datalog Thus, Datomic avoids the compromises and losses of many NoSQL solutions. In addition, it offers flexibility and power over the traditional model in supporting: Hierarchy Multi-valued attributes Minimal schema Reliable operation on unreliable, ephemeral cloud instances Time Datomic avoids manual caching and replication, complex configuration, sharding (automatic or manual), logging, locking, latching and disk management of traditional servers."

"A free and open source modelling tool to create ArchiMate models and sketches. Used by hundreds of Enterprise Architects throughout the world."

"Tony Tam shares tips for modeling data with MongoDB for a fast and scalable system based on his experience migrating billions of records from MySQL to MongoDB."

"Apache Giraph is an iterative graph processing system built for high scalability. For example, it is currently used at Facebook to analyze the social graph formed by users and their connections. Giraph originated as the open-source counterpart to Pregel, the graph processing architecture developed at Google and described in a 2010 paper. Both systems are inspired by the Bulk Synchronous Parallel model of distributed computation introduced by Leslie Valiant. Giraph adds several features beyond the basic Pregel model, including master computation, sharded aggregators, edge-oriented input, out-of-core computation, and more. With a steady development cycle and a growing community of users worldwide, Giraph is a natural choice for unleashing the potential of structured datasets at a massive scale."

In January of this year, @nvie published "A successful Git branching model", in which he explained how he keeps his Git repositories nice and tidy. In addition to that, he released git-flow; a bunch of Git extensions to make following this model extremely easy. I'm astounded that some people never heard of it before, so in this article I'll try to tell you why it can make you happy and cheerful all day.

Data.js is a data representation framework for Javascript. It is being developed in the context of Substance, a web-based document authoring and publishing engine. It took some inspiration from various existing libraries such as the Google Visualization API or Underscore.js.  You can report bugs and discuss features on the GitHub issues page, on Freenode IRC in the #_substance chann el, post questions to the Google Group, or send tweets to @_substance. With Data.js you can: Model your domain data using a simple graph-based object model that can be serialized to JSON. Traverse your graph, including relationships using a simple API. Manipulate and query data on the client (browser) or on the server (Node.js) by using exactly the same API. 

"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"

"Service Component Architecture (SCA) is a set of specifications which describe a model for building applications and systems using a Service-Oriented Architecture (SOA). SCA extends and complements prior approaches to implementing services, and SCA builds on open standards such as Web services. SCA is based on the idea that business function is provided as a series of services, which are assembled together to create solutions that serve a particular business need. These composite applications can contain both new services created specifically for the application and also business function from existing systems and applications, reused as part of the composition. SCA provides a model both for the composition of services and for the creation of service components, including the reuse of existing application function within SCA compositions. SCA aims to encompass a wide range of technologies for service components and for the access methods which are used to connect them. For components, this includes not only different programming languages, but also frameworks and environments commonly used with those languages. For access methods, SCA compositions allow for the use of various communication and service access technologies that are in common use, including, for example, Web services, messaging systems and Remote Procedure Call (RPC)."

"In this talk you will learn about a modern way of designing applications that's very different from the traditional approach of building monolithic applications that persist mutable domain objects in a relational database.We will talk about the microservice architecture, it's benefits and drawbacks and how Spring Boot can help. You will learn about implementing business logic using functional, immutable domain models written in Scala. We will describe event sourcing and how it's an extremely useful persistence mechanism for persisting functional domain objects in a microservices architecture."

"RESTful API Modeling Language (RAML) is a simple and succinct way of describing practically-RESTful APIs. It encourages reuse, enables discovery and pattern-sharing, and aims for merit-based emergence of best practices. The goal is to help our current API ecosystem by solving immediate problems and then encourage ever-better API patterns. RAML is built on broadly-used standards such as YAML and JSON and is a non-proprietary, vendor-neutral open spec."

"Bounded Context is a central pattern in Domain-Driven Design. It is the focus of DDD's strategic design section which is all about dealing with large models and teams. DDD deals with large models by dividing them into different Bounded Contexts and being explicit about their interrelationships. "

"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."

Data Modeling with NoSQL (slides)

"A model (developed by Leonard Richardson) that breaks down the principal elements of a REST approach into three steps. These introduce resources, http verbs, and hypermedia controls."

In this post I present the development model that I've introduced for all of my projects (both at work and private) about a year ago, and which has turned out to be very successful.

"A reasonably complete implementation of the Universal Scalability Law model."

"The idea behind Kundera is to make working with NoSQL Databases drop-dead simple and fun. Kundera is being developed with following objectives: To make working with NoSQL as simple as working with SQL To serve as JPA Compliant mapping solution for NoSQL Datastores. To help developers, forget the complexity of NoSQL stores and focus on Domain Model. To make switching across data-stores as easy as changing a configuration. "