Big Data Everywhere London
Thursday, June 4, 2015
Big Data Everywhere is a one-day event focused on Hadoop and surrounding technologies, as well as business applications. Big Data Everywhere will bring together users and developers to share their expertise and experience about these projects. Learn emerging trends from big data industry thought leaders, share best practices with users and developers, and gain valuable insights from some of today's most successful Hadoop deployments.


Real World Use Cases: Hadoop and NoSQL in Production

Ted Dunning View Bio

What’s important about a technology is what you can use it to do. I’ve looked at what a number of groups are doing with Apache Hadoop and NoSQL in production, and I will relay what worked well for them and what did not. Drawing from real world use cases, I show how people who understand these new approaches can employ them well in conjunction with traditional approaches and existing applications. Among the examples presented, I examine the use of a Hadoop and NoSQL foundation to detect security threats in financial settings, to optimize data warehouse utilization, to improve marketing efficiency in a cost-effective way and to build a huge biometric database with the goal of changing society. There are consistent themes in successful projects that aren’t what most people expect. I will describe some of the themes that I have found in our survey of projects.
How to Move your Business to Big Data: the Next Generation Enterprise Architecture

Jim Scott View Bio

In this session, I’ll explain how to move your business to the next level by implementing your enterprise architecture. I’ll lay out which products can fit into this architecture in order to fulfil the needs of your business, as well as the benefits that can be derived from these components, both independently and together. With this architecture, log shipping is a thing of the past. It will no longer be needed, because this architectural simplification removes work that is required for most businesses to function and drive revenue. Log shipping is one less thing that employees will have to worry about in the wee hours of the night, and it won’t break. By storing the data where it is created in a distributed file system, and processing it in place, you can remove all the required transport technologies, and simplify the application architectures of many enterprise applications because the enterprise architecture solves these problems.


Ted Dunning

Ted Dunning is Chief Application Architect at MapR Technologies and committer and PMC member of the Apache Mahout, Apache ZooKeeper, and Apache Drill projects​. Ted has been very active in mentoring new Apache projects and is currently serving as vice president of incubation for the Apache Software Foundation​.​ Ted was the chief architect behind the MusicMatch (now Yahoo Music) and Veoh recommendation systems. He built fraud detection systems for ID Analytics (later purchased by LifeLock) and he has 24 patents issued to date and a dozen pending. Ted has a PhD in computing science from the University of Sheffield. When he’s not doing data science, he plays guitar and mandolin. He also bought the beer at the first Hadoop user group meeting..

Jim Scott

Jim drives enterprise architecture and strategy at MapR. Jim Scott is the cofounder of the Chicago Hadoop Users Group. As cofounder, Jim helped build the Hadoop community in Chicago for the past four years. He has implemented Hadoop at three different companies, supporting a variety of enterprise use cases from managing Points of Interest for mapping applications, to Online Transactional Processing in advertising, as well as full data center monitoring and general data processing. Prior to MapR, Jim was SVP of Information Technology and Operations at SPINS, the leading provider of retail consumer insights, analytics reporting and consulting services for the Natural, Organic and Specialty Products industry. Additionally, he served as Lead Engineer/Architect for dotomi, one of the world’s largest and most diversified digital marketing companies. Prior to dotomi, Jim held several architect positions with companies such as aircell, NAVTEQ, Classified Ventures, Innobean, Imagitek, and Dow Chemical, where his work with high-throughput computing was a precursor to more standardized big data concepts like Hadoop.