Big Data Montréal #39 – Wednesday August 5th

Register here: http://bdm39.eventbrite.ca

Big Data Montreal would like to invite you to its thirthy-ninth meeting!

Join us on Wednesday August 5th at 18h00 to attend a conference, as well as to network with other Big Data enthusiasts from Montreal!

The meeting will take place at the Cloud.ca Center (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 scheduled presentations:

  • HP Vertica BI: Sub-second big data analytics your users and developers can truly appreciate (by Mina Naguib, Technical Director of Platform Engineering at AdGear). Despite how fantastic pigs look with lipstick on and how magical elephants look with wings attached, there remains a large gap between what popular big data stacks offer and what end users demand in terms of reporting agility and speed. Join us to learn how Montreal-based AdGear, an advertising technology company, faced challenges as its data volume increased.  You will hear how AdGear’s data stack evolved to meet these challenges, and how HP Vertica’s architecture and features changed the game. This talk will be in English.
  • How MindGeek’s Ad Network uses Big Data Technologies to push Billions of Impressions per Day (by Olivier H. Beauchesne, Lead Data Scientist at MindGeek). MindGeek’s Ad Network pushes Ads to some of the biggest sites on the Internet. This produces a massive amount of data that must be analysed in real time to adjust bidding patterns, detect fraud, debug issues, and bill customers. To do so, we use standard Open Source technologies such as Kafka, Samza, Hive, etc. In this talk, we’ll present our technical architecture and how it’s being used by our different teams (Data Science, Sales, Monetization and Fraud Detection) at MindGeek.
  • You? 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 :) !

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

Finally, you are also welcome to join us for some casual networking, in the same room, after the presentations. (For the regulars, we won’t be going to Brasseurs de Montreal).

Please tell your friends and colleagues :) !


Enregistrez-vous ici : http://bdm39.eventbrite.ca

Big Data Montréal vous invite à sa trente-neuvième rencontre!

Joignez-vous à nous le mercredi 5 août 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 (anciennement le 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.

Il y a deux présentations à l’horaire:

  • HP Vertica BI: Sub-second big data analytics your users and developers can truly appreciate (by Mina Naguib, Technical Director of Platform Engineering at AdGear). Despite how fantastic pigs look with lipstick on and how magical elephants look with wings attached, there remains a large gap between what popular big data stacks offer and what end users demand in terms of reporting agility and speed. Join us to learn how Montreal-based AdGear, an advertising technology company, faced challenges as its data volume increased.  You will hear how AdGear’s data stack evolved to meet these challenges, and how HP Vertica’s architecture and features changed the game. This talk will be in English.
  • How MindGeek’s Ad Network uses Big Data Technologies to push Billions of Impressions per Day (by Olivier H. Beauchesne, Lead Data Scientist at MindGeek). MindGeek’s Ad Network pushes Ads to some of the biggest sites on the Internet. This produces a massive amount of data that must be analysed in real time to adjust bidding patterns, detect fraud, debug issues, and bill customers. To do so, we use standard Open Source technologies such as Kafka, Samza, Hive, etc. In this talk, we’ll present our technical architecture and how it’s being used by our different teams (Data Science, Sales, Monetization and Fraud Detection) at MindGeek.
  • Vous? 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 :) !

Nous servirons nourriture et breuvages, gracieuseté de HP!

Finalement, vous êtes invités à vous joindre à nous après les présentations, dans la même salle, pour continuer à réseauter. (Pour les habitués, nous n’irons pas aux Brasseurs de Montréal).

Passez le mot et venez en grand nombre :) !

 

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