real-time data

Big Data joined by Nodeable {1}

by Rudy P
I chose to read the article, “Twitter’s Open Source Big Data Tool Comes to the Cloud Courtesy of Nodeable” by Klint Finley. This article gives details of a new Big Data analysis software by Nodeable called StreamReduce. This software is based on a software created by a Twitter owned company called storm. Finley goes on to state, “StreamReduce is essentially Storm hosted in the cloud, with a few extras such as connectors to Apache Hadoop” (Finley, 2012). Nodeable began as a company which developed software for both data management and analysis, however due to market demand they have shifted their attention to analysis. Nodeable is joining an increasingly competitive market where companies such as HStreaming already exists, and possible companies such as Amazon may join in the near future. read more...

New Software for Big Data Analytics {1}

by Renee L
In his article “New GigaSpaces Release Promises ‘Big Data’ Analytics in Real Time,” Mark Brunelli talks about the latest software from GigaSpaces Technologies, that gives users the ability to build their own real-time big data analytics platforms.  GigaSpaces Technologies is the leading provider of a new generation of application platforms for Java and .net environments, and provides scaling solutions and cloud enabling technologies. Big data analytics is the process of examining large amounts of structured and semi-structured data (big data), and its goal is to help organizations make better decisions while analyzing huge amounts of data. GigaSpaces new software called XAP 9.0 allows users to create and launch high-performance real-time analytics systems for applications that are processing large amounts of data sets. According to GigaSpaces, XAP 9.0 was created to help reliability and scalability issues when dealing with other big data technologies in real time, such as Hadoop. Some of the great features that XAP 9.0 offers are real-time streaming data processing, parallel processing, fine grained data compression, reduced memory footprint and the ability to integrate with databases, such as Hbase, Cassandra, and MongoDB. XAP 9.0 also supports cloud environments by allowing users to run applications on public or private clouds, and offers scaling, which reduces the cost of running big data applications. read more...