Big Data: Another Generation
We have been through at least two fairly distinct generations of big data. The first was characterized by the players, generally large financial, telecom companies or emerging web companies, with significant engineering staffs which often built their own basic tools. The second leveraged open source tools to significantly expand those who could take advantage of the deluge of new data.
A further, evolving challenge for big data applications, particularly those built on machine learning tools; leveraging automated sources of data, e.g. Internet of Things; and generating near real time automated actions, is the complexity of the systems environment in which they will be deployed. There has been huge progress in the core big data areas such as the networking, data base/stream management, data analysis, and visualization over the past decade. However, most production big data capabilities will be deployed as pieces of much larger ecosystems that include a complex data lifecycle, critical dependence on interfaces with other systems, often in near real time, and the engineering of upstream and downstream systems. This involves not only the design and architecture of the overall systems, connections and API’s, but the assurance of security, operations, administration, and maintenance of the entire system. This talk takes a look at the issues and applications that will drive more routine production deployment of big data over the next several years.
Date and Time
Location
Hosts
Registration
- Date: 12 Sep 2016
- Time: 06:30 PM to 08:30 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
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- Co-sponsored by AES, Computer & Instrumentation, Communications (COM019) Chapters
- Starts 18 July 2016 04:00 PM
- Ends 11 September 2016 04:00 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Dr. Dave Belanger
Big Data: Another Generation
Biography:
Dr. Dave Belanger is currently a Senior Research Fellow at Stevens Institute of Technology. He is also Leader of IEEE’s Big Data Initiative (bigdata.ieee.org). Prior to Stevens, he spent 33 years in research at Bell and AT&T Labs, including roles as: Chief Scientist; V.P. Information, Software and Systems Research; and Head, Software Engineering Research. In 1995 he founded the AT&T InfoLab, a very early research and development organization for big data.
Awards: 1998, AT&T Science and Technology Medal for contributions in very large scale information mining technology; 2006 AT&T Fellow for “lifetime contributions in software, software tools, and information mining”; and 2009 he received the IEEE Communications Society Industrial Innovator Award.
Dr. Dave Belanger
Big Data: Another Generation
Biography:
Agenda
6:30 PM - Pizza and Soda
6:30-Close: Talk by Dr. Dave Belanger