Enable javascript in your browser for better experience. Need to know to enable it? Go here.
Atualizado em : Nov 10, 2015
Not on the current edition
This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar Understand more
Nov 2015
Experimente ? Vale a pena ir atrás. É importante entender como desenvolver essa capacidade. As empresas devem experimentar esta tecnologia em um projeto que possa lidar com o risco.

Apache Spark has been steadily gaining ground as a fast and general engine for large-scale data processing. The engine is written in Scala and is well suited for applications that reuse a working set of data across multiple parallel operations. It’s designed to work as a standalone cluster or as part of Hadoop YARN cluster. It can access data from sources such as HDFS, Cassandra, S3 etc. Spark also offers many higher level operators in order to ease the development of data parallel applications. As a generic data processing platform it has enabled development of many higher level tools such as interactive SQL (Spark SQL), real time streaming (Spark Streaming), machine learning library (MLib), R-on-Spark etc. 

May 2015
Experimente ? Vale a pena ir atrás. É importante entender como desenvolver essa capacidade. As empresas devem experimentar esta tecnologia em um projeto que possa lidar com o risco.
Jan 2015
Avalie ? Vale a pena explorar com o objetivo de compreender como isso afetará sua empresa.

For iterative processing such as machine learning and interactive analysis, Hadoop map-reduce does not work very well because of its batch-oriented nature. Spark is a fast and general engine for large-scale data processing. It aims to extend map-reduce for iterative algorithms and interactive low latency data mining. It also ships with a machine learning library.

Jul 2014
Avalie ? Vale a pena explorar com o objetivo de compreender como isso afetará sua empresa.
For iterative processing such as machine learning and interactive analysis, Hadoop map-reduce does not work very well because of its batch-oriented nature. Spark is a fast and general engine for large-scale data processing. It aims to extend map-reduce for iterative algorithms and interactive low latency data mining. It also ships with a machine learning library.
publicado : Jul 08, 2014
Radar

Baixar o Technology Radar Volume 25

English | Español | Português | 中文

Radar

Mantenha-se por dentro das tendências de tecnologia

 

Seja assinante

Visite nosso arquivo para acessar os volumes anteriores