The Hadoop Summit North America Call for Abstracts is now closed. Thank you everybody who submitted an abstract over the past few months. We received a record number of submissions this year. It will be hard for the committee to select from the 350+ abstracts.
We will be opening Community Choice in the next few days. Check back for a link on how you can cast your votes for your favorite topics. The top vote getters in each track will automatically be added to the Hadoop Summit agenda. The remaining sessions will be selected by a committee of industry experts who will take into account the Community Choice votes as well as their own expertise in the area.
Hadoop Summit will include seven tracks focused on the following topics:
Hadoop Driven Business / Business Intelligence
Sessions in this track focus on how Hadoop is powering a new generation of business intelligence solutions. Speakers will discuss tools, techniques, and solutions for deriving business value and competitive advantage from the large volumes of data flowing through today’s enterprise. Tips for effective exploration of business data with visualization and statistical models will also be covered.
Applications and Data Science
Sessions in this track focus on the practice of data science using Hadoop. This includes novel applications, tools, and algorithms as well as areas of advanced research and emerging applications that use and extend the Hadoop platform. Sessions will cover examples of innovative analytics applications and systems that refine raw data into actionable insight using visualization, statistics and machinel learning.
Deployment and Operations
This track focuses on the deployment, operation and administration of Hadoop clusters at scale, with an emphasis on tips, tricks, best practices and war stories. Sessions will cover the full deployment lifecycle from installation, configuration, and initial production deployment to large scale roll out.
Enterprise Data Architecture
This track focuses on Hadoop as a data platform and how it fits within broader enterprise data architectures. Sessions will focus on integration points between Hadoop and other enterprise systems and patterns and methods in operating these systems together: real-time transactions, datastores, datamarts, and data warehouses.
Future of Apache Hadoop
This track takes a technical look at the key projects and research efforts driving innovation in and around the Hadoop platform. Attendees will hear from the technical leads, committers, and expert users who are actively driving the roadmaps, key features, and advanced technology research.
Hadoop (Disruptive) Economics
Laser-focused on business innovation, this track provides concrete examples of how Hadoop is enabling businesses across a wide range of industries to become data-driven. Speakers will share the unique ways they are deriving value from data in order to achieve competitive advantage and/or new levels of productivity. Business processes, disrupted markets, solutions, architectures and lessons learned will also be discussed.
Reference Architectures
Apache Hadoop impacts every level of the enterprise data architecture from storage and operating systems through end-user tools and applications. Sessions in this track focus on how the various components of the enterprise ecosystem integrate and interoperate with Apache Hadoop. Presentations will include reference architectures that demonstrate integration points, complementary workloads, and value propositions for Hadoop in the enterprise.