Strata + Hadoop World West 2017
San Jose, CA
Monday, March 13, 2017
to
Thursday, March 16, 2017
MapR is proud to be an Elite Sponsor of Strata + Hadoop World, an immersion in the most challenging problems, intriguing use cases, and enticing opportunities in data today.

Talks

Cloudy with a Chance of On-Prem

Jim Scott View Bio

Why Stream? The Advantages of Working with Streaming Data

Ellen Friedman View Bio

Connected Vehicle: a Global Cloud Processing Application

Crystal Valentine View Bio

The Main Event: Identifying and Exploiting the Keys to Digital Transformation

Jack Norris View Bio

Microservices, Machine Learning, and More - Building Next Gen Applications

Crystal Valentine View Bio

Applying Machine Learning to Live Patient Data

Joseph Blue View Bio

Tensor Abuse in the Workplace

Ted Dunning View Bio

Architectural Considerations for Building Big Data Applications in the Cloud

Dale Kim View Bio

Speakers

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.

Ellen Friedman

Ellen Friedman is a consultant and commentator on big data topics. Active in open source, Ellen is a committer for Apache Mahout, co-author of the book Mahout in Action and a contributor for Apache Drill. She has a PhD in biochemistry, did laboratory research in microbiology, molecular biology and plant genetic engineering and has written about a wide range of technical topics including biology, oceanography and the genetics of learning and memory.

Ellen thinks rabbits are funny, so she helped design magic-themed cartoons in the book "A Rabbit Under the Hat."

Crystal Valentine

Crystal Valentine is VP of Technology Strategy at MapR Technologies with a background in big data research and practice. Before joining the MapR, she was a professor of computer science at Amherst College. She is the author of various academic publications in the areas of algorithms, high-performance computing, and computational biology and holds a patent for Extreme Virtual Memory. As a former consultant at Ab Initio Software working with Fortune 500 companies to design and implement high-throughtput, mission-critical applications and as a tech expert consulting for equity investors focused on technology, she has developed significant business experience in the enterprise computing industry. Dr. Valentine received her doctorate in Computer Science from Brown University and was a Fulbright Scholar to Italy.

Jack Norris

Jack drives understanding and adoption of new applications enabled by data convergence. With over 20 years of enterprise software marketing experience, he has demonstrated success from defining new markets for small companies to increasing sales of new products for large public companies. Jack’s broad experience includes launching and establishing analytic, virtualization, and storage companies and leading marketing and business development for an early-stage cloud storage software provider.

Joseph Blue

In his role as Data Scientist at MapR, Joe assists customers in solving their big data problems, making efficient use of the Hadoop ecosystem to generate tangible results. Recent projects include debit card fraud & breach detection, lead generation from social data, customer matching through record linkage, lookalike modeling using browser history and real-time product recommendations.

Prior to MapR, Joe was the Chief Scientist for Optum (a division of UnitedHealth) and the principal innovator in analytics for healthcare. As a Sr. Fellow with OptumLabs, he applied machine learning concepts to healthcare issues such as disease prediction from co-morbidities, estimation of PMPY (member cost), physician scoring and treatment pathways. As a leader in the Payment Integrity business, he built anomaly detection engines responsible for saving $100M annually in claim overpayments.

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..

Dale Kim

Dale is the Sr. Director of Industry Solutions at MapR. His background includes a variety of technical and management roles at information technology companies. While his experience includes work with relational databases, much of his career pertains to non-relational data in the areas of search, content management, and NoSQL, and includes senior roles in technical marketing, sales engineering, and support engineering. Dale holds an MBA from Santa Clara University, and a BA in Computer Science from the University of California, Berkeley.