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Published on Jun 16, 2015
The web app is Agile. The REST API is Agile. The testing and planning are Agile. But alas, Data infrastructures certainly are not. Once an application matures, changing the shape or indexing scheme of data often forces at best a top down planning exercise and at worst includes schema changes which force downtime. The time has come for a new approach that fundamentally advances the agility of distributed data infrastructures.
Learn about a new solution to the problems faced by software organizations as their products become successful and the data grows beyond the initial scope of the database,whether it starts out as relational SQL, NoSQL, or somewhere in between.
As the user base of a software system grows, the data infrastructure is forced to evolve to meet the needs of new features, increasing the variety of data with ever larger data volumes and higher query velocity. One thing we know about evolution is that it doesn't always take the simple path or produce simple results. Data systems often grow by adding technology: a little NoSQL here, a message queue there, a Hadoop cluster hiding in the corner. This growing complexity slows down product development and challenges technology teams to ramp up entirely new skillsets reactively.
Is this your future or is this your today? Learn how you can use AgilData to address these challenges, with a truly agile infrastructure that allows your organization to store, scale and access the data it needs. AgilData is a real time computation engine and distributed data storage platform with an emphasis on a fantastic developer experience.
In his General Session at 16th Cloud Expo (http://www.cloudcomputingexpo.com), Dan Lynn, CEO of CodeFutures Corporation, showed how an "Agile data infrastructure" should handle everything from OLTP to real time analytics to historical reporting. A truly Agile approach allows data to be accessed as an exact match to application requirements. As application needs change, the AgilData platform can respond rapidly and dynamically evolve the schema, data distribution and access patterns to support high scalability with high performance - while easing the burden of the application developer and database administrators by versioning data structures as well as code.
He also highlighted a real-world use case from a large enterprise organization that was able to leverage the AgilData approach to rapidly accelerate the pace of product development while actually simplifying operations. He makes you a believer in the fundamental tenants of an AgilData infrastructure, namely that it must be Simple, it must be Scaleable, it must be Streaming, and, most importantly, it must be SQL.