Schedule: Sponsored sessions

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Location: 118-119
Michael Hausenblas (Red Hat)
We will discuss requirements for IoT data processing platforms incl. stream processing, dealing with raw device data, ensuring business continuity and to enforce security and privacy. We will dissect a number of IoT applications, such as a manufacturer offering pro-active maintenance, optimisations of waste management as well as streamlining a supply chain. Read more.
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Location: 118-119
Joe Goldberg (BMC Software Inc.)
Enterprise IT Management tools play a key role in helping IT organizations deliver a high level of service to their customers and manage the ongoing operation of production and mission critical systems according to regulatory requirements and to meet the goals of the business... Read more.
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Location: 118-119
Rod Smith (IBM Emerging Internet Technologies )
Average rating: ***..
(3.00, 4 ratings)
Analytics 3.0 is all about exploiting big data for just-in-time results to impact business outcomes. But what's really changing? Read more.
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Location: 118-119
Konstantin Shvachko (WANdisco)
This presentation addresses the geographic scalability of HDFS. It describes unique techniques implemented at WANdisco, which allow scaling HDFS over multiple geographically distributed data centers for continuous availability. . . Read more.
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Location: 118-119
Marcello Bianchetti (UniCredit SPA)
Average rating: **...
(2.00, 1 rating)
This session will show the evolution of big data at UniCredit, from troubleshooting and application monitoring to the real-time analytics of ATMs, mobile banking, transactions and card usage. It will go under the hood of technical decisions in setting up a scalable and reliable architecture and dealing with a heterogeneous, geographical distributed and multi-layered environment. Read more.
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Location: 127-128
Frank Saeuberlich (Teradata)
How can big data make your journey to work better? In this case study we’ll explore how! Trains today are complex systems consisting of many embedded subsystems, which operate together with the overall goal of delivering a high quality transportation service... Read more.
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Location: 127-128
Matt Casters (Pentaho)
Average rating: ***..
(3.00, 2 ratings)
Lean how Pentaho's data integration and business analytics platform accelerates value from blended big data. * Leverage analytics -from data access and integration, through visualisation and predictive analytics– to deliver near real-time business insights. * Empower users to architect big data blends at the source AND stream for more complete and accurate analytics... Read more.
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Location: 127-128
James Kinley (Cloudera)
Key takeaways: The business drivers and objectives Multi-tenancy concepts and architecture Multi-tenancy features in EDH Multi-tenancy configuration in EDH Read more.
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Location: 127-128
Greg Kleiman (Red Hat)
It’s been twenty years since Red Hat first launched Linux. Since then Red Hat has fueled the rapid adoption of open source technologies. As Big Data transitions into enterprise mode, Red Hat is again poised to facilitate the innovation and communities needed to empower multiple data stakeholders across your organization so you can truly open the possibilities of your data. Read more.
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Location: 127-128
bob middleton (Tableau Software)
Understanding the balance between Availability, Risk and Trust when dealing with big data analytics. As we approach the end of 2014 more people are talking “big data” than ever before, but what we are now calling big data is just a drop in the ocean. The danger we all face is that as we step back to consider just how beautifully BIG our data is getting, we start to lose control. Read more.
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Location: 211-212
Martin Willcox (Teradata)
Average rating: ***..
(3.67, 33 ratings)
Drinking from the data lake is tempting, but what is it really? How did we get here, and what lessons can we learn from previous technologies? It’s tempting to see this as the solution to data silos, but what are the costs? Martin Willcox provides a practical guide to help you understand the realities… Read more.
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Location: 211-212
Rod Smith (IBM Emerging Internet Technologies )
Average rating: **...
(2.92, 26 ratings)
Big Data & Analytics continues to be a disruptive business force. Are we entering a new phase – Big Data & Analytics 3.0? Read more.
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Location: 211-212
David Richards (WANdisco, Inc.)
Average rating: **...
(2.77, 22 ratings)
WANdisco CEO and Co-Founder David Richards will explore ‘mission critical’ applications of Big Data across industry sectors, and highlight the importance of continuous availability, performance, and scalability in its application. Read more.