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'General Session | Real-time Big Data: An Agile Approach'
You use an agile process, your goal is to make your organization more agile. What about your data infrastructure?

The truth is, today’s databases are anything but agile — they are effectively static repositories that are cumbersome to work with, difficult to change, and cannot keep pace with application demands. Performance suffers as a result, and it takes far longer than it should to deliver on new features and capabilities needed to make your organization competitive. As your application and business needs change, data repositories and structures get outmoded rapidly, resulting in increased work for application developers and slow performance for end users. Further, as data sizes grow into the Big Data realm this problem is exacerbated and becomes even more difficult to address. A seemingly simple schema change can take hours (or more) to perform, and as requirements evolve the disconnect between existing data structures and actual needs diverge.

Not only do organizations suffer routinely from static, inflexible data repositories, there is now a huge need for real-time Big Data processing. To maintain a competitive stance, companies need to know what is happening now, in real-time, and be able to act accordingly. This need leaves traditional data warehouse, batch processing, and other historical reporting approaches in the dust.

How can you address these challenges, building a truly agile infrastructure that allows your organization to store, scale and access the data it needs?

The ideal solution is an agile data infrastructure, able to handle everything from OLTP to real-time analytics to historical reporting. An agile approach allows data to be accessed as an exact match to application requirements. As application needs change, an agile platform must be able to respond rapidly, continuing to dynamically evolve schema, data distribution and access patterns to support Big Data scalability and high performance — while easing the burden of the application developer and database administrators.

During this session you will hear from the experts on what it really takes to achieve an agile data infrastructure — one that meets your needs today and for many years to come. You will hear a case study showing agile data concepts at work. In addition, you will learn about CodeFutures’ latest breakthrough technology for real-time Big Data infrastructures, ready for private beta following the show.