This track provides overview and deep dive sessions that cover the products, features, and technologies for datacenter modernization and consolidation. Example topics include: storage migration, performance optimization, management of data in distributed applications, and middleware integration. Attendees will learn how to enable lines of business to rapidly respond to business events in an automated manner, automate rules-driven business processes, and integrate applications, data, and embedded devices across all cloud environments.
The datacenters of today’s global businesses are often located in various sites around the world. To help ensure their safety, the data is frequently replicated both within and between sites. This cross-site replication can be challenging, as links between sites are often bandwidth-constrained and have high latency.
In this session, you’ll:
|Application and data integration||Tuesday, April 15||4:50 pm - 5:50 pm||3.0 / 5.0|
Looking to access your SAP data with Red Hat JBoss Middleware and not sure where to start? This session will cover all the bases and show you how to connect and consume data via Red Hat JBoss Fuse, Apache Camel, Fuse Fabric, Red Hat JBoss Data Virtualization, and Red Hat JBoss Developer Studio.
See live demos using JBoss Data Virtualization, SAP NetWeaver Gateway, and OData as well as Red Hat JBoss Fuse with a new JCo-based Camel component that uses inbound and outbound synchronous RFC communication with SAP.
|Application and data integration||Thursday, April 17||9:45 am - 10:45 am||4.0 / 5.0|
You’re hearing a lot about big data these days. And big data and the technologies that store and process it, like Hadoop, aren’t just new data silos. You might be looking to integrate big data with existing enterprise information systems to gain better understanding of your business. You want to take informed action.
During this session, we’ll demonstrate how Red Hat JBoss Data Virtualization can integrate with Hadoop through Hive and provide users easy access to data. You’ll learn how Red Hat JBoss Data Virtualization:
We’ll also provide typical uses cases and examples and a demonstration of the integration of Hadoop sentiment analysis with sales data.
|Application and data integration||Thursday, April 17||11:00 am - 12:00 pm||3.0 / 5.0|
This track covers application development tools and technologies. Example topics include: best practices, methodologies, and techniques for building applications in C, C++, Java, PHP/LAMP, Ruby, Node.js, and many other commonly used developer tools and languages, and new development approaches such as Platform-as-a-Service. Attendees will also learn how the tools that build, run, and scale applications are evolving.
Red Hat has mature middleware stacks in the enterprise engineering, service-oriented architecture (SOA), business process management (BPM), and data spaces. Some of these are standards related, while some standards don’t yet exist.
What does the future hold for these stacks as mobile, cloud, and the Internet of things continue to gather momentum? What will happen as new languages are added to the JVM (almost) daily, and the lines between technologies continue to blur?
In this interactive session, our panel of experts will discuss their personal visions for the future of Red Hat JBoss Middleware. We would also like to hear from you, so come prepared to talk about your concerns, requirements, and interests for the future.
Topics: Big data, Development tools, Flexibility, Interoperability, Mobile, Performance, Portability, Red Hat JBoss A-MQ, Red Hat JBoss Data Grid, Red Hat JBoss Data Virtualization, Red Hat JBoss Enterprise Application Platform, Red Hat JBoss Fuse, Red Hat JBoss Fuse Service Works, Reliability, Scalability
|Application development||Tuesday, April 15||10:40 am - 11:40 am||3.0 / 5.0|