When
3:30 PM Saturday
Where
8401
Silicon Valley Code Camp : October 11th and 12th 2014session

Rapid Application Development Using Data Services in Bluemix

Come, learn to develop enterprise grade application quickly and easily using node-red and IoT technology in IBM Bluemix.

About This Session

Want the power of IBM's relational database and analytics engine but don't want to install, configure and manage it? Then you need to learn about managed data services in Bluemix. We will show how IBM Bluemix, an open-standards, cloud-based developer platform for building, deploying and managing apps can be leveraged for rapid application development on the cloud built on top of enterprise-level data services. We will discuss and demo two such Bluemix services, SQL Database and Analytics Warehouse. SQL Database adds an on-demand relational database to your Bluemix hosted application. Powered by DB2, it provides a managed database service to handle demanding web and transactional workloads. Analytics Warehouse service can be used for predictive analytics which can be applied to many areas including business-to-business (B2B) and business-to-consumer (B2C) areas, such as customer acquisition, retention, and winback. These analytics can be applied to technical tasks, such as predictive maintenance. We will discuss how can we leverage analytics service in the cloud to provide the statistical analysis capability of R by using sample data sets that are stored in the BLU Acceleration for Cloud database. Join us to get hands on and learn how to use SQLDB, AWH, and In-database R capability in the cloud. You will also learn to pump-in NOSQL document datasets into the warehouse for predictive analytics.

Time: 3:30 PM Saturday    Room: 8401 

The Speaker(s)

undefined undefined

Rakesh Ranjan

Software Engineer , IBM

Rakesh Ranjan is a Program Director and Architect of Cloud Data Services at IBM Cloud.

undefined undefined

Steven Chamberlin

Service Reliability Engineer , IBM

Steven Chamberlin is a service reliability engineer for the cloud data services team at IBM.