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SkillsCast

Obtaining fast analytics from the Internet of Things

26th May 2016 in London at CodeNode

There are 1 other SkillsCast available from Double bill: Machine Learning and Quarks

In this talk we will demonstrate how to use Streams and Quarks to get rapid insight from data in motion. Quarks are a breakthrough technology now available to the open source community that embeds streaming analytics onto Internet of Things (IoT) devices. Analysing data at the edge continuously, can help companies generate insights more quickly and reduce network communication costs. Developers and data scientists can use the open source code in Quarks to build new apps that can handle massive amounts of IoT data streaming from sensors, smart meters, mobile communications and other connected devices. This is an incredibly exciting area for all Big Data practitioners.

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Obtaining fast analytics from the Internet of Things

Jerome Chailloux

Jerome has been involved in streaming data analysis for over 7 years specialising in gaining insights from data produced by sensors. He is closely involved in the Connected Cars project and also aiding Supermarkets to understand customer buying behaviour in store.

SkillsCast

In this talk we will demonstrate how to use Streams and Quarks to get rapid insight from data in motion. Quarks are a breakthrough technology now available to the open source community that embeds streaming analytics onto Internet of Things (IoT) devices. Analysing data at the edge continuously, can help companies generate insights more quickly and reduce network communication costs. Developers and data scientists can use the open source code in Quarks to build new apps that can handle massive amounts of IoT data streaming from sensors, smart meters, mobile communications and other connected devices. This is an incredibly exciting area for all Big Data practitioners.

Resources:

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Obtaining fast analytics from the Internet of Things

Jerome Chailloux

Jerome has been involved in streaming data analysis for over 7 years specialising in gaining insights from data produced by sensors. He is closely involved in the Connected Cars project and also aiding Supermarkets to understand customer buying behaviour in store.

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