Big Data: It's Everywhere. And So Are We.
Big Data Everywhere is a one-day conference focused on big data technologies that brings together users and developers to share their experience via technical sessions and user success stories. Industry and technical experts will share their knowledge, discuss best practices, and describe use cases and business applications related to their successes with a converged data platform.
New Designs for Data Platform Reference Architectures
Ramesh Balasubramanian, Search and BigData, Qualcomm
The highly competitive semiconductor world is generating more and more data in varying sizes and forms, from the initial design phase to the manufacturing phase. Learn about new designs for streaming data architecture that help you get real-time insights and greatly improve the efficiency of your organization, which work seamlessly in both both on-prem and cloud-based environments.
The Keys to Digital Transformation
Jack Norris, SVP of Data and Applications, MapR Technologies
Leading companies are integrating operations and analytics to make real-time adjustments to improve revenues, reduce costs, and mitigate risks. This session will discuss how companies from TransUnion to Uber use event-driven processing to transform their business with agility, scale, robustness, and efficiency advantages.
How Enterprises Are Using IoT Analytics to Drive Competitive Advantage
Daniel Gutierrez, Managing Editor, insideBIGDATA
Digital intelligence is the convergence of analytics with real-time data and processes to drive competitive advantage. Today, sensors are monitoring machines on the factory floor, assets in the field, and data center systems, tracking ships and inventory, helping businesses gain productivity and become ever more efficient. The Internet of Things is fundamentally shifting industry dynamics. Connected things and digital networks are enabling big data analytics to push data-driven decision making to new frontiers. Real-time and in-context analytics is how these new digital organizations can deliver game changing advantage. This session makes the case for adopting leading-edge IoT analytics solutions to gain strategic advantage.
8:00am -- Registration and Breakfast
9:00am -- Introductions and Welcome
9:15am -- The Keys to Digital Transformation (Jack Norris, SVP of Data and Applications, MapR)
10:00am -- Extending Open Source Big Data to the Enterprise with SAP HANA Vora (Daniel Rutschmann, Sr. Director, Database & Data Management Product Strategy, SAP)
10:30am -- Morning Networking Break
11:00am -- New Designs in Data Platform Reference Architectures (Ramesh Balasubramanian, Search and BigData, Qualcomm)
11:45am -- How Enterprises Are Using IoT Analytics to Drive Competitive Advantage (Daniel Gutierrez, Managing Editor, insideBIGDATA)
12:30pm -- Networking Lunch
1:30pm -- How to Manage Continuous Dataflows for a Customer 360 Application (Kirit Basu, Director, Product Management, StreamSets)
2:00pm -- Re-Platforming for IoT Scale (Subhash Gowda, Manager Web Applications & Analytics and Ashfaq Chougle, Software Development Manager at IPS Group)
2:45pm -- Running Large-Scale Big Data Platform at Rubicon Project (Devin Kramer, Director Infrastructure Engineering and Jesse Escobedo, Senior Systems Engineer, Rubicon Project)