Big Data Montréal #41 – Tuesday October 6th

Register here: http://bdm41.eventbrite.ca

Big Data Montreal would like to invite you to its fortieth meeting!

Join us on Tuesday October 6th at 6pm to attend a conference, as well as to network with other Big Data enthusiasts from Montreal!

The meeting will take place at the Centre Cloud.ca (formerly RPM Startup Centre), which is located at 420 Guy street.

All are welcome, no matter if you already have some experience with Big Data technologies or if you’re simply curious to learn more.

We have two presentations scheduled so far:

  • Apache NiFi: Hortonworks DataFlowI (by Dmitry Baev, Manager Solutions Engineering for Canada). Massive data streams that originate from connected yet disparate sources including sensors, machines, geo-location devices, social feeds, web, clicks, server logs and more, are forming the Internet of Anything (IoAT). This new data paradigm is driving the need for trusted insights from data at the very edge to the data lake and in real-time with full fidelity and security.To derive value and real-time insights, data in motion from IoAT must be treated as dataflows—from source to destination—so that modern analytical applications can collect, conduct and curate the data in a secure, scalable and reliable manner. The Hortonworks DataFlow powered by Apache NiFi, a top-level open source project, enables customers to securely and easily collect, conduct and curate any type of data from any origin. Traditional data at rest as well as real time data in motion can now be blended to provide historical and perishable insights.
  • The Machine Learning Database (by Nicolas Kruchten from Daracratic). Nicolas Kruchten will present Datacratic’s new built-in-Montreal Big Data product: the Machine Learning Database (MLDB). In this presentation, we will see how MLDB running on a single node can be used to operationalize machine learning over datasets for which a distributed system would normally be the go-to solution.

N.B.: This edition will be in English.

 There will be food and drinks served, courtesy of Hortonworks!

Finally, you are also welcome to join us at the nearby Brasseurs de Montreal, after the presentations, for some casual networking (please use the appropriate ticket so we know how many people to expect).

Please tell your friends and colleagues :) !

P.S.: We are (as always) looking for speakers for future editions of BDM, so if you’re interested in presenting (or if you know people who are), please don’t hesitate to write to us at bdm-admin@googlegroups.com :) !


Big Data Montréal vous invite à sa quarante-et-unième édition!

Joignez-vous à nous le mardi 6 octobre à 18h00 pour assister à une conférence, ainsi que pour réseauter avec les autres enthousiastes montréalais du Big Data!

La rencontre aura lieu au Centre Cloud.ca (formerly RPM Startup Centre), qui est situé au 420 rue Guy.

Tous sont bienvenus, que vous ayez déjà de l’expérience avec les technologies de Big Data ou que vous soyez simplement curieux d’en apprendre plus.

Nous avons deux présentations à l’horaire jusqu’à maintenant:

  • Apache NiFi: Hortonworks DataFlowI (by Dmitry Baev, Manager Solutions Engineering for Canada). Massive data streams that originate from connected yet disparate sources including sensors, machines, geo-location devices, social feeds, web, clicks, server logs and more, are forming the Internet of Anything (IoAT). This new data paradigm is driving the need for trusted insights from data at the very edge to the data lake and in real-time with full fidelity and security.To derive value and real-time insights, data in motion from IoAT must be treated as dataflows—from source to destination—so that modern analytical applications can collect, conduct and curate the data in a secure, scalable and reliable manner. The Hortonworks DataFlow powered by Apache NiFi, a top-level open source project, enables customers to securely and easily collect, conduct and curate any type of data from any origin. Traditional data at rest as well as real time data in motion can now be blended to provide historical and perishable insights.
  • The Machine Learning Database (by Nicolas Kruchten from Daracratic). Nicolas Kruchten will present Datacratic’s new built-in-Montreal Big Data product: the Machine Learning Database (MLDB). In this presentation, we will see how MLDB running on a single node can be used to operationalize machine learning over datasets for which a distributed system would normally be the go-to solution.

N.B.: Cette édition sera en anglais.

Il y aura de quoi manger et des boissons de services, gracieuseté de Hortonworks!

Finalement, vous êtes invités à vous joindre à nous aux Brasseurs de Montréal, où la soirée se poursuivra après les présentations, pour continuer à réseauter (svp, utiliser le billet approprié pour que nous ayons une idée du nombre de personnes)

Passez le mot et venez en grand nombre :) !

P.S.: Nous sommes (comme toujours) à la recherche de présentateurs pour les éditions futures de BDM, donc n’hésitez pas à nous écrire à bdm-admin@googlegroups.com si vous êtes intéressés à présenter, ou si vous connaissez des gens qui le sont :) !

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