JackBe Presto delivers real-time operational intelligence dashboards direct from live information sources to provide visibility and insight that ties operational information to business KPIs and Metrics to measure continuous business impact.
In a world of seemingly endless data and a lot less time to sort through it, it’s no surprise that most data executives and professionals are expressing interest in adopting in-memory technology, according to a recent survey. In-memory opens the floodgates for Big Data, enabling organizations to store, access, protect and analyze important data in the application servers’ memory rather than disk-based databases.
Before in-memory, business users faced the hurdle of having to know exactly what they were looking for and then communicate that to the analytics teams—when we all know that the most enlightening data is often the most unexpected. Soon, organizations realized they needed to put this critical insight directly into the users’ hands, and in real-time, to maintain an intimate knowledge of changing business conditions as they happen.
With real-time data in-memory, we’ve got Big Data at our fingertips, but capitalizing on it means different things to different people. For business users, it means they are one step closer to gleaning real value from previously incomprehensible mountains of content. For IT, it means debunking one of the biggest myths surrounding Big Data: that Hadoop is your be-all and end-all solution. Don’t get me wrong, Hadoop is great and it makes data management relatively easy. It’s just not the whole story. Without an easy way to tie your Big Data to other data in-memory and visualize the results, Big Data becomes just another data silo. To prevent that, you have to give business users the means to link the critical elements of Big Data to the rest of enterprise data for real-time analytics, data exploration and decision-making.
Enter real-time Big Data Analytics, which delivers self-service BI tools through real-time dashboards and analytics, accelerating Big Data’s value in real-time decision making. Now, organizations can not only measure historical performance; they can assess current conditions and even predict future response. When you combine the latest in-memory data management technology and real-time visual analytics, you’ve got the keys to realizing the true value of Big Data.
For more insight, download JackBe's contribution,Real-Time Analytics and In-Memory Data Management: A Big Data Marriage Made in Heaven, to Database Trends and Applications magazine’s thought leadership series, Delivering Information Faster: In-Memory Technology Reboots the Big Data Analytics World.