Red Hat JBoss Data grid version 6 better manage large data-products and technologies

Source: Internet
Author: User
Keywords Red Hat application software large data nbsp;
Red Hat JBoss Data grid version 6 better management Big Data release time: 2012.06.29 14:20 Source: Sadie Net Author: Sadie Net

"Sadie Network News" Recently, Red Hat announced the memory data grid solution Red Hat JBoss Data grid 6 version of the official listing. Red Hat JBoss Data grid 6 A few of the latest features specifically designed to help enterprise users reduce the need for relational databases, so that application development can better manage large data.

The challenge of managing large-scale data is one of the unprecedented challenges facing enterprise users. The challenge will continue to intensify, with industry observers noting that the global Internet traffic will reach an absolute billion ceiling by 2015, up from four times times the size of the 2010 data. While this explosion of traffic is driving the number of data-driven applications, the preservation and use of all this data is costly for enterprise users to grow and manage. Traditional structural and relational data management technologies have created a dual economic and technical burden for business users who want to tap into the value of their growing data.

"The massive spread of data has brought new demands on enterprise-class applications," said Craig Muzilla, general manager and vice president of Red Hat Company middleware. So the traditional way of expanding the data tier is very time-consuming and sometimes impossible to implement. Red Hat JBoss Data grid 6 provides a new way to address this problem, helping enterprise users to complete migrations in ways that are more flexible than other proprietary approaches.

Based on the popular JBoss community project Infinispan and includes components for the JBoss Enterprise application platform and the JBoss Operations network, Red Hat JBoss data grid 6 is an integrated product that helps enterprise users manage large-scale transactional data grids more easily. Red Hat JBoss Data grid enables open management of the data grid by providing support for Java and non-Java applications and enabling multiuser access including rest and Apache Hot rod. The advantage of this approach is that it can also help enterprise users more easily implement NoSQL for a large number of existing applications.

"One of the biggest challenges facing today's enterprise users is how to get applications to meet the needs of large data," said Charlotte Dunlap, a senior analyst at current Analytics's application platform. This problem is becoming more prevalent as information expands and the severity continues to intensify. Red Hat companies are aware of the need to provide corporate users with a simple solution to expand their data tier.

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Red Hat JBoss Data grid 6 offers several benefits for enterprise users

A non-invasive approach to NoSQL-through fast intuitive memory-critical value storage, Red Hat JBoss data grid 6 helps enterprise users make it easier to add NOSQL functionality to their development toolkit.

Using large data-Red Hat JBoss data grid 6 can support large workloads with low latency and selective transaction support, providing support for real-time application applications such as trade, logistics, and E-commerce.

Use reduced costs to better expand application software-the Red Hat JBoss data grid can be used as a seamless cache between application software and existing data tiers to help enterprise users better scale applications, while significantly reducing the cost and complexity associated with expanding traditional relational databases.

Flexible application integration-Red Hat JBoss data grid 6 includes several new features specifically designed to provide enterprise users with a large number of different access options. Such features as support for rest and Apache Hot rod, such as open application programming interfaces, can help developers

High availability and fault tolerance-Red Hat JBoss data grid 6 is designed specifically for high availability, flexibility, and scalability. Data can be automatically allocated according to the nodes added or deleted in the grid, and can be run in physical or virtual data centers after configuration is complete.

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