Real-Time Big Data: An Agile Approach
You use an agile process; your goal is to make your organization more agile. But, 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 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 also is 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, with 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, dynamically evolve schema, data distribution and access patterns to support Big Data scalability with high performance - while easing the burden of the application developer and database administrators.
During this session, you will hear from 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 case studies showing agile data concepts at work. In addition, you will learn about CodeFutures' latest breakthrough technology for real-time Big Data infrastructures. AgilData, which is now open for limited private beta testers.
Cory Isaacson is CEO/CTO of CodeFutures Corporation, maker of AgilData and dbShards. Cory has authored numerous articles in a variety of publications including JAXenter.com, Database Trends and Applications, and recently authored the book Software Pipelines and SOA (Addison Wesley). His latest book, Understanding Big Data Scalability (Prentice Hall) is soon to be released.
Cory has more than twenty years experience with advanced software architectures, and has worked with many of the world's brightest innovators in the field of high-performance computing. Cory has spoken at hundreds of public events and seminars, and assisting numerous organizations address the real-world challenges of Big Data performance and scalability -- effectively applying emerging technologies to a variety of fields including social networking, mobile applications, gaming and high volume transaction systems. In his prior position as president of Rogue Wave Software, he actively led the company back to a position of profitable growth, culminating in a successful acquisition by a leading private equity firm.