Transform Big Data into
Actionable Business Insights with
JBoss Middleware
Data is fast becoming the currency of the future and businesses that know how to use it wisely will gain a critical advantage. Many organizations now struggle with a wealth of incoming data streams that need to be married with data already residing across multiple datasources.
To maximise the true potential of big data, you need the right foundation to ensure the data is comprehensive, reliable and timely. If you get the foundation wrong, no amount of investment in analytics software can compensate for it.
Through Red Hat’s JBoss Middleware, you can now transform big data into actionable insights with a solution that places you above and beyond your competitors.
How? By applying business rules to data residing in the backend as well as real time stream data captured in an in-memory cache.
Find out how JBoss Middleware has helped organizations like yours
Turning data into actionable insights
Challenge
For companies to make the right decisions to stay ahead of today’s business curve, they must take advantage of the growing volume of data available to them, and gain access to the right information at the right time.
Solution
Red Hat® JBoss® Middleware enables your business to integrate and virtualize data, so multiple, disparate and even distributed data sources look like a single data source to users and applications. By insulating applications from underlying data sources, users can easily consume information and use it to generate business value.
Results
By simplifying and accelerating access to data, Red Hat JBoss middleware eliminates fragmentation that can slow your business down. By integrating and virtualizing data with an open solution, your IT department can simplify data access, improve data quality and compliance, and deliver the information and responsiveness your business needs to make better decisions.
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Stay competitive with modern data management
Challenge
As more companies seek competitive advantages through big data, data bottlenecks are becoming more common as businesses start processing larger volumes and greater varieties of data to meet customer expectations.
Solution
Red Hat JBoss Data Grid is an in-memory data grid and NoSQL data store solution that helps applications access, process, and analyze data at in-memory speed to deliver superior user experiences to meet the challenges of IT complexity and data growth.
Results
With low latency data processing, high availability and linear scalability, Red Hat JBoss Data Grid provides flexibility and elasticity to help companies improve application performance and scalability for faster decision-making and greater productivity, resulting in a better customer experience.
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