Oracle Road to Big Data

Abstracts

Keynote - Transforming your Business with Big Data
Big data is going mainstream. Today, successful big data projects are enabling over 50% of organizations to see increases in revenue or reductions in cost. In this keynote session we will explain big data opportunities and discuss what it takes to be successful.

Tackling Fraud: Past, Present, and Future
All businesses are at risk from fraud. Effectively tackling fraud means examining your records for historical discrepancies, and examining current activity for signs of future fraud—as well as adopting real-time fraud checking procedures to ensure that customers aren’t left waiting. In this session we’ll examine successful fraud prevention case studies in a number of industries, from healthcare and insurance to manufacturing and ecommerce—helping you discover how to keep your business secure. Stay safe along the road to big data.

Unlocking the Power of Data-Driven Marketing
Attend this session and you’ll learn how your existing data sources can be combined and analyzed to determine marketing effectiveness. We’ll look at how this same data can help to feed predictions and guide future marketing campaigns, and demonstrate how your company’s marketing efforts can benefit from a data-driven approach.

Monetizing Big Data
There’s money in big data. In this session, we’ll examine how companies in telecoms, media, and retail are investing to offer cloud data services, generating revenue with data applications, and partnering with others to sell actionable insights. We’ll demonstrate how telecoms data can be used for mobile marketing, how to sell location insights, and how to generate revenue from footfall analytics applications. Make the next stage on your road to big data a profitable one.

Transforming Asset Management and Maintenance with the Internet of Things
No technological development is creating more data than the internet of things (IoT). And at the heart of all that information you’ll find invaluable insights. Attend this session and you’ll learn how to connect physical devices to track and manage assets, as well as establishing predictive maintenance programs. We’ll demonstrate what can be achieved, examining how similar approaches have succeeded in the transportation, building management, energy, and finance sectors.

Enhancing your Data Warehouse with Big Data
You know your data warehouse holds the information your business needs. But there’s a whole world of additional data out there ready to provide valuable insights for your organization. In this session, you’ll learn how to build a data lake with Hadoop, integrate it with your current data warehouse and applications, and take the next step on your road to big data innovation.

Uncovering New Value with Data Labs
It’s not always easy to work out what your data is telling you. You need to experiment to unlock the real insights lurking beneath the surface of the data flood. Attend this session and you’ll learn how to build, set up, and provision your big data lab, utilizing behavior-driven development techniques to uncover new value faster.

Embracing the Machine Learning Revolution
Machine learning is one of the most exciting trends in the world of big data. In this session we’ll combine an exploration of machine learning with another important big data trend: in-memory processing with Apache Spark. You’ll learn how to build and deploy analytical applications in the cloud, working with both streaming data and more static, Hadoop-based data lakes.

Enhancing Asset Management with the Internet of Things and Big Data Analytics
The internet of things (IoT) is creating huge amounts of data. The trick is to find the value in that data and make it work for your business. In this session, you’ll learn how to build an end-to-end solution for capturing real-world IoT sensor data and running big data analytics on that information. With the insights you’ll gain, you can deliver better asset management and predictive maintenance as you continue along your road to big data.

Highlights

Agenda

Abstracts