Event Big Data: Getting the maximum value out of your data
13.09.17 in Basel (in English)
The world of data is evolving faster and faster. New concepts and technologies are emerging every day. Big Data is now getting a major role in the way the data is designed. In the first session, we are going to describe Big Data and how to implement Big Data use cases. In a second session, our experts will demonstrate with an insurance business case how the usage of open data combined with Big Data technologies can help to analyze driver profiles in terms of risks. Finally, Oracle as a Partner of dbi services will introduce the new Oracle Big Data Appliance as a possible all-in-one solution.
SESSIONS AND PRESENTATIONS (all in English)
This introduction to Big Data concepts and technologies will help you to understand what is meant with “Big Data” and how use cases can be implemented. Our experts will show you how Big Data evolved during the last years by comparing the “old and new model” of data management. This first session will provide you an insight about what it needs to set up a Big Data architecture that works properly (i.e. with Cloudera, Oracle and Microsoft)
- Mehdi Bada, Consultant at dbi services
With the idea of how to generate new business models, our experts will demonstrate how Big Data can support insurances by assessing the risks related to drivers’ behavior: a particularly sensitive topic for the insurance industry and its customers. Based on the Cloudera distribution, our experts will present you a specific Big Data architecture that helps to collect structured and non-structured data including internal and external data as open data.
- Alexandru Dimofte (Oracle Big Data Sales Consultant – Big Data and Analytics)
As Big Data is maturing into a key component of the enterprise data management system, the focus shifts from demos and proof of concepts to full scale production deployments that are performant, secure, easy to integrate but also to manage. In this session, we will discuss about the advantages of Engineered vs DIY for Big Data Systems and what this means in terms of Time-to-Value, Risk, Operating Costs and Manageability.
Time: 13.30 – 16.30
Price: CHF 0.-
12:30-13:30 Lunch (please inform us)
13:30-13:45 Welcome speech
13:45-14:30 Introduction to Big Data
14:30-15:15 Big Data in insurances
15:15-15:30 Coffee break
15:30-16:15 Oracle Big Data Appliance
16:15-16:30 Questions / Answers