New O’Reilly Book Released on Real-World Machine Learning Authored by Industry Experts from MapR

September 25, 2017

MapR Chief Application Architect examines the keys to model management for machine learning

San Jose, Calif.- September 25, 2017 -- MapR Technologies, Inc.,provider of the Converged Data Platform that integrates analytics with operational applications in real time, announced today the release of a new book, Machine Learning Logistics: Model Management in the Real World.

Written by Ted Dunning, PhD, board member of the Apache Software Foundation and chief application architect at MapR, and co-author Ellen Friedman, PhD, principal technologist at MapR and Apache committer, and published by O’Reilly Media, the book Machine Learning Logistics: Model Management in the Real World, examines what you need for effective data and model management in real-world settings, including globally distributed cloud or on-premises systems.

Authors Dunning and Friedman introduce the rendezvous architecture, an innovative design to help you handle machine learning logistics. This approach not only paves the way to successful long-term management, it also frees up your time and effort to focus on the machine learning process itself and on how to take action on results.

The book provides a non-technical view of what makes the approach work, as well as in-depth technical details. It is ideal for data scientists, architects, developers, ops teams and project managers, whether your team is planning to build a machine learning system or currently has one underway.

Readers will learn:

  • The issues in machine learning logistics you need to consider when designing and implementing your system
  • How the new architecture described in this book leverages streaming data transport and containers to make logistics easier and more accurate, including the hot hand-off of new models and the collection of diagnostic data
  • Practical tips for comparing live models, including the role of decoys, canaries and the t-digest
  • Best practices for maintaining model performance after deployment

At Strata Data Conference in New York City, MapR will host complimentary book signings with both authors at its booth (#415) on Wednesday, September 27 from 3:35-4:15pm and Thursday, September 28 from 10:45-11:20am.

To download a copy of Machine Learning Logistics: Model Management in the Real World, please visit here.

To listen to a recorded webinar which covers an introductory discussion of the book, please visit here.


About MapR Technologies

MapR Technologies is a visionary Silicon Valley software company and creator of the next-generation data platform for AI and analytics, with the scale and reliability required by enterprise-grade, mission-critical deployments. The MapR Data Platform delivers the power of dataware to accelerate data-driven innovation. Forward leaning companies such as Cisco, Philips, and Société Générale, are able to create new data-driven solutions to outperform the competition. Learn more:

MapR is a registered trademark of MapR Technologies, Inc. in the United States and other countries. Other names and brands may be the property of others.

Media Contacts

Beth Winkowski
MapR Technologies, Inc.
(978) 649-7189

Kim Pegnato
MapR Technologies, Inc.
(781) 620-0016