In 2005, Tim O'Reilly predicted: "Data is the Next Intel Inside." Today the future he envisioned is unfolding at a startling pace. O'Reilly's Strata Conference brings together the leading minds in big data: the decision makers using the power of big data to drive business strategy as well as the practitioners who collect, analyze, and manipulate the data.
A connected world, brimming with data and fueled by near-limitless computing power, is changing everything about how we live, love, work, and play. It's a change that offers tremendous opportunity—to transform business, end corruption, teach the world, and help society tackle its biggest challenges. And yet it creates new threats, from privacy concerns to Orwellian dystopia. What's clear is that the future belongs to those who understand how to collect and use their data successfully. And that future happens at Strata.
Strata Conference delivers the nuts-and-bolts foundation for building a data-driven business—in three full days of inspiring keynotes, practical and information-rich sessions, an expo hall with key players and products, and plenty of networking events.
Strata has a laser-sharp focus on the big data issues that are shaping the business, finance, media, and government worlds.
Strata is where the leading minds in big data converge to map out the future, share their experiences and expertise, and learn from the people driving the data revolution. If you want to tap into the opportunity that big data presents, be at Strata.
Strata attendees have job titles including:
"One of the most valuable events to advance my career."
"An excellent event focused on the intersection between distributed computing and data science."
"The conference gave me access to leading thinkers in big data and businesses with big data problems. I enjoyed the tutorials and talks, and look forward to experimenting with some of them in the next few months."
"The event was invigorating from a community perspective. Big Data gets so much hype that being with real practitioners felt awesome. It was also nice to see the spectrum of professionals in the space--data scientists, software guys, business users, tool developers, etc. all in one location--sharing knowledge was awesome."
"The event speakers, content, and organization were exceptional. This is probably the pinnacle of Big Data conferences to attend for networking and getting the latest updates on ground breaking new technologies in the Big Data space. I will definitely attend this event next year."
is an entrepreneur with a background in web performance, analytics, cloud computing, and business strategy. In 2001, he co-founded Coradiant (acquired by BMC in 2011) and has since helped launch Rednod, CloudOps, Bitcurrent, Year One Labs, and several other early-stage companies. He works with startups on business acceleration, and advises a number of larger companies on innovation and technology.
A sought-after public speaker on data-driven innovation and the impact of technology on society, Alistair has founded and run a variety of conferences, including Cloud Connect, Bitnorth, and the International Startup Festival. He’s the chair for Strata Data conference. He has written several books on technology and business, including the best-selling Lean Analytics.
Alistair tries to mitigate chronic ADD by writing about far too many things at Solve For Interesting.
is the director of market research at O'Reilly Media. Magoulas runs a team that is building an open source analysis infrastucture and provides analysis services, including technology trend analysis, to business decision-makers at O'Reilly and beyond. In previous incarnations, Magoulas designed and implemented data warehouse projects for organizations ranging from the San Francisco Opera to the Alberta Motor Club.
is the Chief Data Scientist at O'Reilly Media, Inc. He has applied Business Intelligence, Data Mining, Machine Learning and Statistical Analysis in a variety of settings including Direct Marketing, Consumer and Market Research, Targeted Advertising, Text Mining, and Financial Engineering. His background includes stints with an investment management company, internet startups, and financial services.
Rachel Kalmar is a neuroscientist who is passionate about making sensor data accessible, actionable, and predictive. How do we take sensor data to the next level, from tracking to actions? Rachel is active in the Bay Area hardware community, and runs a sensor meetup (meetup.com/Sensored) and discussion group (bit.ly/sensorites).
Joseph Adler has many years of experience in data mining and data analysis at companies including DoubleClick, American Express, and VeriSign. He graduated from MIT with an B.Sc. and M.Eng in Computer Science and Electrical Engineering. He is the inventor of several patents for computer security and cryptography, and the author of "Baseball Hacks" and "R in a Nutshell". Currently, he is a senior data scientist at LinkedIn.
Jen van der Meer is a former Wall Street Analyst and Economist, and has held executive management roles at Organic and Frog Design. Jen was a partner at Drillteam where she developed participatory customer engagement programs for brands such as Target, Toyota, Nestle, Saucony, Neiman Marcus, earning the first social media programs for several of these companies. Drillteam became part of Powered, Inc., which then joined Dachis Group in 2011, where Jen served as EVP Managing Director, overseeing demand generation, client service, strategy consulting, and experience design and delivery.
Roger Chen is an investor at O'Reilly AlphaTech Ventures (OATV), where he looks for collisions between unmet needs and enabling technologies. He spent his past life as a scientist and engineer, alternating between academia and industry while dabbling in the startup and venture capital world. When he is not tinkering with technology, Roger plays sports and wonders what lies beyond bell curves. Roger has a BS from Boston University and a PhD from UC Berkeley, both in Electrical Engineering.
Beau Cronin co-founded two startups based on probabilistic inference, the second of which was acquired by Salesforce in 2012. He now works there as a product manager. He received his PhD in computational neuroscience from MIT in 2008.
Paco Nathan, O'Reilly author ("Enterprise Data Workflows with Cascading"), an evangelist for Apache Mesos; and a "player/coach" who's led innovative Data teams building large-scale apps for 10+ yrs. Expert in machine learning, cluster computing, and Enterprise use cases for Big Data. Interests: Mesos, PMML, Cascalog, Scalding, Python for analytics, NLP.
Jon Bruner is a quantitative journalist at O'Reilly, where he writes about anything numbers-related and develops interactive visualizations. He was previously data editor at Forbes Magazine. He earned a B.S. in mathematics and economics at the University of Chicago.
David Andrzejewski is Lead Data Sciences Engineer at Sumo Logic, which he joined in 2011 after a postdoctoral research position working on knowledge discovery at Lawrence Livermore National Laboratory (LLNL). He is interested in developing tools that combine the power of machine learning with human insights, and has published work applying these ideas to problems in biomedical text mining, information retrieval and software behavior. David completed his PhD in Computer Sciences at the University of Wisconsin-Madison in 2010, where he had also previously received an M.S. in Computer Sciences and a B.S. in Computer Engineering, Mathematics and Computer Sciences.
Julie Steele is the Content Editor for Strata at O'Reilly Media. She is co-author of Beautiful Visualization and Designing Data Visualizations. She finds beauty in exploring complex systems, and thinks in metaphors. She is particularly drawn to the visual medium as a way to understand and transmit information.
Jenn Webb is a veteran of the newspaper industry turned freelance scribe, editor and researcher. She is a nerd with a passion for technology and cultural disruption. She currently serves as O'Reilly Radar's online managing editor and is investigating the future of UX/UI design.
Kord Davis is a former Principal Consultant with Cap Gemini, Kord has spent nearly 20 years providing business strategy, analysis, and technical consulting to over 100 organizations of all sizes including: Autotask, Microsoft, Intel, Sisters of Mercy Healthcare, Nike, Bonneville Power Administration (BPA), Northwest Energy Alliance (NEEA), Bill & Melinda Gates Foundation, Western Digital, Fluke, Merix, Roadway Express, and Gardenburger.
Laurel Ruma is the Director of Talent for O'Reilly Media. Most recently she co-chaired Where 2.0, OSCON Java, and Gov 2.0 Expo. She joined the company in 2005 after working for five years at various IT analyst firms in the Boston area. Laurel is also the co-editor of Open Government, published by O'Reilly.
Lisa Green is the Director at the Common Crawl Foundation where she oversees the foundation’s mission of building, maintaining and openly disseminating a comprehensive crawl of the web. Prior to joining Common Crawl, she was the Chief of Staff at Creative Commons. Lisa holds a PhD in physical chemistry from the University of California Berkeley, lives in San Francisco and is passionate about open systems.
Coco Krumme is a PhD student at MIT, where she's partnered with a major financial institution to study transaction data and human behavior.
Dan Roesch is the Managing Director of Roesch & Associates with over 25 years of experience in strategy development for large companies and startups.
Mark Madsen designs and builds analysis and decision support systems, and building data management and access infrastructure. Research focus these days is on analysis techniques, emerging technology and practices in analytics, BI, information management, user experience for data access & delivery applications. Mark speaks at a lot of conferences on anything data, with a bunch of history of science and technology mixed in.
Tony Tran is the founder and co-organizer of the San Francisco Bay Area Machine Learning Meetup Group. He is currently a Machine Learning consultant helping companies tackle big data problems. Previously, Tony worked as a Data Engineer at Bizo where he built large scale search services and analyzed advertising data to help guide strategic business decisions. He holds an MS in Computer Science from UC Irvine specializing in Machine Learning and Computer Vision and a BS in Computer Science from UC San Diego.
Sharon Wragg is Sr. Analytics Engineer at Dictionary.com, where she is busy staking and pruning branches of the analytics data architecture while falling in love with language. She previously spent 20 years in process engineering and the semiconductor manufacturing industry, and has only recently pivoted to the field of data science and software development. Sharon is still a passionate fan of Deming, the total quality movement, lean thinking, SPC, and all the great disciplines for achieving excellence that have come out of the world of manufacturing. She holds a BS of Mechanical Engineering from UC Berkeley, with an emphasis in heat transfer.
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