Edouard Servan-Schreiber, Director for Solution Architecture, MongoDB
The Big Data era has made managing and preparing data for analytics increasingly complicated. Notwithstanding all the attention and new tools available, preparing and sourcing data for analytics still requires 80% of the time, which is more than anyone finds acceptable.
NoSQL databases — including document databases and key value stores — and Hadoop are becoming prevalent in industrial IT infrastructures. The flexibility they exhibit in data modeling and computing models are changing the foundations of analytical projects and requiring many new skills and workflow changes for data scientists. They are also making impressive promises.
In this webinar, we will review how and when NoSQL technology can help your organization derive value from its data with analytics. We will also discuss how Fortune 500 companies are extracting value from their data efficiently to drive revenue and decrease cost. Learn how:
- A large manufacturer uses sensor data to provide new analytics apps for its customers and to inform internal product development
- A top 5 investment bank performs risk analytics based on trading data in real time
- A leading retail company optimizes prices by aggregating competitive data from a variety of structured and unstructured sources