Agility and Innovation vs IT: how new data platforms can overcome this neverending struggle
To explain to participants how NoSQL technology and private cloud practices can help in achieving scalable growth and fast time to market.
IT organizations confront business champions and developers about the scale and number of their projects.
Developers want the ability to get new applications and features up and running as fast as possible. And IT attempts to enforce a robust deployment process.
The core of the issue is enabling a scalable data layer. Traditional RDBMS technology is enforcing very strict data modeling practices in order to scale. Similarly, traditional hardware deployment demands a very high upfront cost, in terms of both time and expense.
NoSQL technology and private cloud practices are enabling a deep shift towards deployments based on variable cost, privileging fast time to market and scalable growth. We will discuss some use cases from 10gen-MongoDB to illustrate this pattern.
Dr. Edouard Servan-Schreiber is Director for Solution Architecture at 10gen, advising customers on how to make MongoDB make their business simpler, faster, and better.
Previously, Edouard was director for cross-channel analytics at Teradata, leading projects in advanced analytics and predictive modeling with customers in all heavily data-driven industries such as telco, retail, finance, high tech manufacturing.
Edouard’s specialty is to help customers extract business value from their data through the effective use of technology and analytics.
Edouard began practicing artificial intelligence and statistical learning models at Carnegie Mellon University for his bachelor’s degree, before going to UC Berkeley for his PhD in Computer Science.