Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA

Seven steps to high-velocity data analytics with DataOps

Christopher Bergh (DataKitchen), Gil Benghiat (DataKitchen)
2:40pm3:20pm Thursday, March 16, 2017
Average rating: ****.
(4.50, 2 ratings)

Who is this presentation for?

  • Data engineers, data scientists, analysts, and managers

Prerequisite knowledge

  • Professional experience working on an analytics or data science team

What you'll learn

  • Learn the seven shocking steps to creating a technical environment to truly enable speed and quality by supporting Agile analytic operations
  • Understand why you shouldn't be a hero


To paraphrase an old saying: “It takes a village to get insights from data.” Data analysts, data scientists, and data engineers are already working on teams delivering insight and analysis, but how do you get the team to support experimentation and insight delivery without ending up in an IT versus data engineer versus data scientist war? Christopher Bergh and Gil Benghiat present the seven shocking steps to get these groups of people working together, helping you achieve data agility.

Christopher and Gil show you how to deliver business value quickly and with high quality and how to create a technical environment to truly enable speed and quality by supporting Agile analytic operations. After looking at trends in analytics and offering a brief review of Agile, Christopher and Gil explain how to apply DevOps techniques to create an Agile analytics operations environment, including how to add tests, modularize and containerize, do branching amd merging, use multiple environments, parameterize your process, use simple storage, and use multiple workflows deploy to production with W. Edwards Demming efficiency. They also explain why “don’t be a hero” should be the motto of analytic teams—emphasizing that while being hero can feel good, it is not the path to success for individuals in analytic teams.

Photo of Christopher Bergh

Christopher Bergh


Christopher Bergh is a founder and head chef at DataKitchen, where, among other activities, he leads DataKitchen’s Agile Data initiative. Chris has more than 25 years of research, engineering, analytics, and executive management experience. Previously, he was regional vice president in the Revenue Management Intelligence group in Model N; was COO of LeapFrogRx, a descriptive and predictive analytics software and service provider (where he led the 2012 acquisition of LeapFrogRx by Model N); was CTO and vice president of product management of MarketSoft (now part of IBM), an innovative enterprise marketing management software vendor; developed Microsoft Passport, the predecessor to Windows Live ID, a distributed authentication system used by hundreds of millions of users today (and was awarded a US patent for his work on that project); led the technical architecture and implementation of Firefly Passport, an early leader in internet personalization and privacy acquired by microsoft; and led the development of the first travel-related ecommerce web site at NetMarket. Chris began his career at the Massachusetts Institute of Technology’s Lincoln Laboratory and NASA’s Ames Research Center, where he created software and algorithms that provided aircraft arrival optimization assistance to air traffic controllers at several major airports in the United States. Chris also served as a Peace Corps volunteer math reacher in Botswana, Africa. Chris holds an MS from Columbia University and a BS from the University of Wisconsin-Madison. He is an avid cyclist, hiker, and reader and is the father of two teenagers.

Photo of Gil Benghiat

Gil Benghiat


Gil Benghiat is one of three founders of DataKitchen, a company on a mission to enable analytic teams to deliver value quickly and with high quality. Gil’s career has always been data-oriented and has included positions collecting and displaying network data at AT&T Bell Laboratories (now Alcatel-Lucent), managing data at Sybase (purchased by SAP), collecting and cleaning clinical trial data at PhaseForward (IPO then purchased by Oracle), integrating pharmaceutical sales data at LeapFrogRx (purchased by Model N), and liberating data at Solid Oak Consulting. Gil holds an MS in computer science from Stanford University and a BS in applied mathematics and biology from Brown University. He has hiked all 48 of New Hampshire’s 4,000 peaks and is now working on the New England 67.