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Make Data Work
Oct 15–17, 2014 • New York, NY

Schedule: Machine Data sessions

Data collected and generated by things—including the difficulties of storing, analyzing, and publishing such information; and the challenges of extracting understandable, meaningful insights from the resulting torrent.

Friday, October 17

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11:00am–11:40am Friday, 10/17/2014
Location: 1 E12/1 E13
Tags: iot
Alisher Maksumov (GE Software), Jean Lau (GE Software)
Average rating: **...
(2.80, 5 ratings)
Industrial systems produce large volumes of real-time data that can be analyzed using Big Data technologies in the data center environments. In many cases, such data needs to be analyzed at the edge before leaving industrial machines or systems that control them. This is possible if machines have intelligence to process data and make decisions. GE will share such use cases and experience. Read more.
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11:50am–12:30pm Friday, 10/17/2014
Location: 1 E12/1 E13
Alasdair Allan (Babilim Light Industries)
Average rating: *****
(5.00, 7 ratings)
The trend towards cloud architectures we've seen over the last few years isn't sustainable. With tens of billions more Internet connected devices arriving over the next few years—far faster than any predicted increase in bandwidth to outside world—data is increasingly going to become a local problem, rather than a cloud problem. Read more.
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1:45pm–2:25pm Friday, 10/17/2014
Location: 1 E12/1 E13
Adi Krishnan (Amazon Web Services)
Average rating: ****.
(4.67, 6 ratings)
A lot of stationary, big data begins its life as small data in rapid motion - think logs, sensors, social data. The pressure is on architects, infra devops, and app developers to harness real-time data, and expose it to the right data processing paradigm. Learn how on AWS, services like Amazon Kinesis, Redshift, and Elastic MapReduce can be composed to deliver a smarter big data infrastructure. Read more.
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2:35pm–3:15pm Friday, 10/17/2014
Location: 1 E12/1 E13
Tags: iot
Jodok Batlogg (CRATE Technology GmbH)
Average rating: *****
(5.00, 2 ratings)
After babysitting Hadoop clusters for many years and knowing the limitations really well we had the chance to design and implement the cloud infrastructure for a large connected home platform from scratch. We’ll show how we’ve built that backend with Crate Data and Twitter Storm and why this is a perfect match for this workload. Read more.
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4:15pm–4:55pm Friday, 10/17/2014
Location: 1 E12/1 E13
Tags: iot
Damian Black (SQLstream Inc)
Average rating: *****
(5.00, 1 rating)
Born as a solution built for RMS (the Australian Government agency managing and regulating the use of roads in New South Wales), this Internet of Things application for smarter transportation services provides a real-time data hub for transportation sensor networks, network information and traveler information, offering actionable insight into network performance, congestion, and incidents. Read more.
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5:05pm–5:45pm Friday, 10/17/2014
Location: 1 E12/1 E13
Daniel Koffler (Rio Tinto Alcan)
Average rating: *****
(5.00, 1 rating)
Rio Tinto is one of the world’s leading mining companies. Our current technology focus is around using innovation to realize our vision of the Mine of The Future. Join us as we explore how natural resource companies are using Big Data techniques to visualize resource deposits, enable fully autonomous rail road systems and global system monitoring. Read more.