Solving the Big Data Challenge of Sensor Data
Date: June 26, 2013
Time: 1:00 PM EDT / 10:00 AM PDT
There is big talk about Big Data and Big Data Analytics. It's no wonder when you consider that every day, we create 2.5 quintillion bytes of different types of data generated in a variety of ways such as social media, cell phone GPS signals, digital media, and purchase transaction records. Sensors are one of the biggest contributors of big data, enabling new applications across industries. Examples include remote healthcare monitoring, smart metering for energy and utilities organizations, inventory management and asset tracking in the retail and manufacturing sectors, and fleet management in logistics and transportation organizations. Applications that rely on sensor-generated data have unique big data requirements to efficiently collect, store, and analyze the data to take advantage of its value.
Attend this webcast to learn about emerging sensor data applications, the unique attributes of sensor data and the big data challenges they present. IBM has a comprehensive portfolio of offerings to solve challenges that span the big data dimensions of volume, velocity, and variety. This webcast will focus on sensor data applications and IBM's differentiated offering to solve the IT challenges of sensor data for better business insight and competitive advantage.
Director, Strategy and Marketing, Database Software and Systems
Bernie Spang is currently Director, Strategy and Marketing, Database Software & Systems for IBM Information Management. He has held various engineering, business development, strategy and marketing roles at IBM over 25 years. He also earned a Masters of Computer Engineering from Syracuse University during that time. Prior to joining IBM, he earned his Engineering degree from Stevens Institute of Technology.
Chief Architect, Informix
Kevin has over 30 years experience in the database field. Before coming to IBM, Kevin worked at Britton-Lee where he helped develop the world's first dedicated database machine. He went on to Illustra where he worked on extending the capabilities of traditional relational databases. Since coming to IBM, Kevin has introduced TimesSeries and real-time capabilities into IBM's relational database products. Kevin is currently the chief architect for Informix and is responsible for driving the technical strategy and direction of the Informix product set. Kevin received his degree in computer science from the University of California at Berkeley.