Zhang Xianmin: Large data to promote the popularization of middleware

Industry research company IDC predicts that pro data will grow by 50 times times between 2010 and 2020, based on statistical calculations of all the digital data created, replicated, and used within a year. Today's enterprises not only pay attention to how to store vast volumes of data, but also continue to work hard to analyze the data. To be successful, they must keep pace with the number and variety of data that are constantly being updated and growing.

The operation of the business depends on the data, but the data sets involved in the large data are so large and complex that the storage and use of the data becomes extremely cumbersome. For the foreseeable future, enterprise users will continue to rely on infrastructure designed for large data applications to ensure reliable operation and seamless scaling in order to be consistent with the speed of data generation and transmission.

Red Hat

The modernization of the Platform

According to the latest research report from Linux Foundation, Enterprise users will continue to increase Linux applications to support mission-critical applications and large data growth. Enterprise platforms such as Red Hat Enterprise Linux have high performance, scalable storage and input and output capabilities to ensure the successful implementation of application software data development, integration and security.

The Indonesian Stock Exchange (IDX) has halved its hardware investment cost each year since switching their systems from UNIX to Red Hat Enterprise Linux. With the rapid development of Indonesia's capital markets and the rising demand for its network trading system, the Indonesian stock exchange needs an IT system capable of providing high performance, high-capacity and security, but it is also a focus of high it investment that will bring high TCO. To address this problem, the Indonesian stock exchange chose Red Hat to provide them with a more cost-effective, safe, reliable, stable and scalable trading system.

Large data drives the popularization of middleware

The IT department is doing its best to design and deploy solutions that manage exponential growth of data, while meeting the stringent requirements for application extensions and the performance of applications that are turning to the memory data grid. According to Gartner Consulting, 40% of large enterprises will be configured with one to two memory data networks by 2014.

With the increasing number, type and variability of data collected, responded and managed by enterprise users, the traditional database design has been overwhelmed and it is difficult to keep pace with the rapid development of data. This brings a number of challenges to enterprise users, such as extensibility, infrastructure design, security, and timeliness of making critical decisions, while increasing complexity also leads to a surge in costs.

The memory data grid meets these additional requirements and provides enterprise users with a reliable, sustainable, distributed memory data store. They can be used to increase the performance and scalability of the mature application software. It can also be used to deploy new high-performance/highly scalable applications-all based on the concepts of using fast-access main memory to extend and master databases or maintain repetitive distributed data and provide continuity and flexibility through remote nodes.

These advantages of the final memory data grid can help enterprise users better meet the customer's expectation of service quality, ensure application performance at peak demand, real-time feedback on business opportunities, and better use of research and development personnel resources by liberating application developers to focus on application software and database resource mining.

As the leader in application server areas that help multiple, highly scalable applications, Red Hat is the first to face the challenges of using large data in real time, especially those that affect the performance of application software. The Red Hat JBoss Data grid developed by the company is designed to address these challenges.

The Red Hat JBoss data grid is designed to extend the data tier without the cost of expensive software recompilation, just using your existing IT experience. This product provides enterprise users with a flexible and economical way to improve the performance of their application software, while helping enterprise users get more output from their mission-critical applications.