Jun 13, 2012 -
Jun 14, 2012
Starts 8:30 and Ends 18:00
(UTC-08:00) Pacific Time (US & Canada)
Hortonworks and Yahoo! are proud to host the 5th annual Hadoop Summit. The two-day event will feature many of the leading thought leaders from the Apache Hadoop community who will showcase successful Hadoop use cases, share development and administration tips and tricks and educate organizations about how to leverage Apache Hadoop as a key component of their enterprise data platform. Hadoop Summit will also be an excellent network environment for developers, architects, administrators, data analysts, data scientists and vendors interested in advancing, extending or implementing Apache Hadoop.
•Analytics and BI - Sessions in this track focus on how Hadoop is powering a new generation of analytics and 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 the enterprise. Relevant tips for effective exploration of complex data models will also be covered.
•Applications & Data Science - Sessions in this track focus on applications, tools, algorithms and data science as well as areas of advanced research and emerging applications that use and extend the Hadoop platform. Sessions will cover examples of innovative data processing applications and algorithms for performing the most common statistical analysis as well as supporting the latest advances in artificial intelligence and machine learning.
•Deployment and Operations - This track focuses on the deployment and operations of Hadoop clusters with an emphasis on tips, tricks, and best practices. Sessions will cover the full deployment lifecycle from installation, configuration, and initial production deployment to large-scale roll out. Reference architectures that maximize performance while minimizing costs will also be covered.
•Enterprise Data Architecture - This track focuses on Hadoop as a data platform and how it fits within broader enterprise data architectures. Sessions will look at real-time, scale-out architectures that process data fast as well as discussions of solution architectures that show how Hadoop can be integrated with existing transactional data stores, datamarts, and data warehouses.
•Future of Apache Hadoop - This track takes a technical look at the key open source 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 in Action - 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. Solution 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 to end-user tools and applications. Sessions in this track focus on how 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.