Big Data Montréal #36 – Tuesday May 5th

Register here: bdm36.eventbrite.ca

Big Data Montreal would like to invite you to its thirty-sixth meeting!

Join us on Tuesday May 5th 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 one presentation scheduled:

  • NoSQL, Hadoop, and Beyond the Hype by Craig Vitter
    Hadoop and NoSQL. They are similar only in that they are both classified as software and do not use SQL. It is often helpful when learning about new technology to juxtapose two things side by side to better understand the differences, the job they are trying to get done, and how they often are seen fitting together within the wild. This talk is an architect’s perspective of what these technologies solve, tools that make using them easier to live with, and suggestions for how to fit them together within your business.

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

There will be food and drinks courtesy of Basho, our sponsors for this event.

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 :) !


Inscrivez-vous ici: bdm36.eventbrite.ca

Big Data Montréal vous invite à sa trente sixième édition!

Joignez-vous à nous le mardi 5 mai 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 une présentation à l’horaire:

  • NoSQL, Hadoop, and Beyond the Hype by Craig Vitter
    Hadoop and NoSQL. They are similar only in that they are both classified as software and do not use SQL. It is often helpful when learning about new technology to juxtapose two things side by side to better understand the differences, the job they are trying to get done, and how they often are seen fitting together within the wild. This talk is an architect’s perspective of what these technologies solve, tools that make using them easier to live with, and suggestions for how to fit them together within your business.

N.B.: Cette édition sera en anglais.

Nous servirons nourriture et breuvages, gracieuseté de Basho, qui parraine cet événement.

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 :) !

Big Data Montreal #35 – Tuesday April 7th

Tickets: bdm35.eventbrite.ca

Big Data Montreal would like to invite you to its thirty-fifth meeting!

Join us on Tuesday April 7th 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 2 flash presentations and 1 full presentation scheduled:

  • Flash presentation on Hive Transform vs Hadoop Streaming by Francis Pieraut
  • Flash presentation on Mediative’s Experience with Databricks Cloud: an Initial Report by Xavier Clements
    Databricks Cloud (DBCloud) promises to be “a single platform for big data processing“ and to make its users’ lives easier in 4 aspects: data visualization, distributed computation, third-party integration and production pipeline creation. At Mediative we have worked with this product for the last 3 months, and in this talk we will report on our experiences thus far. We have found that (1) the cluster management capabilities offered by DBCloud are very useful, (2) data exploration is fast and intuitive (thanks to a complete REPL that allows for short feedback loops and quick visualisations) and, (3) the Databricks support is very professional and timely. In addition to the above we have also found some limitations that undermine the power of the tool. We will present examples of our assertions as well as some avenues of inquiry that we will be exploring in the future.
  • Full presentation on Big Data Warehousing at Shopify by Harry Brundage
    While many companies have focused on powering products with their big data, Shopify has instead focused on building a well modelled data warehouse to power better decisions across it’s rather wild business first. This seems like a terribly uncool thing to do these days: it doesn’t involve much machine learning or advanced math, but it has been wildly successful at Shopify, and laid a fantastic foundation for data scientists to start doing the fancy stuff. Shopify has built a highly structured, clean, and useful warehouse using new ideas like Apache Spark and old ideas like dimensional modelling to achieve technical and organizational scalability. This talk will be about how we model our data, why we think it is the right thing to do, and the hard-won lessons learned in deploying Spark and Hadoop for such a task.

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

There will be food and drinks courtesy of Shopify, our sponsors for this event.

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 :) !


Billets: bdm35.eventbrite.ca

Big Data Montréal vous invite à sa trente cinquième édition!

Joignez-vous à nous le mardi 7 avril 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 2 présentations courtes à l’horaire, ainsi qu’une présentation longue:

  • Flash presentation on Hive Transform vs Hadoop Streaming by Francis Pieraut
  • Flash presentation on Mediative’s Experience with Databricks Cloud: an Initial Report by Xavier Clements
    Databricks Cloud (DBCloud) promises to be “a single platform for big data processing“ and to make its users’ lives easier in 4 aspects: data visualization, distributed computation, third-party integration and production pipeline creation. At Mediative we have worked with this product for the last 3 months, and in this talk we will report on our experiences thus far. We have found that (1) the cluster management capabilities offered by DBCloud are very useful, (2) data exploration is fast and intuitive (thanks to a complete REPL that allows for short feedback loops and quick visualisations) and, (3) the Databricks support is very professional and timely. In addition to the above we have also found some limitations that undermine the power of the tool. We will present examples of our assertions as well as some avenues of inquiry that we will be exploring in the future.
  • Full presentation on Big Data Warehousing at Shopify by Harry Brundage
    While many companies have focused on powering products with their big data, Shopify has instead focused on building a well modelled data warehouse to power better decisions across it’s rather wild business first. This seems like a terribly uncool thing to do these days: it doesn’t involve much machine learning or advanced math, but it has been wildly successful at Shopify, and laid a fantastic foundation for data scientists to start doing the fancy stuff. Shopify has built a highly structured, clean, and useful warehouse using new ideas like Apache Spark and old ideas like dimensional modelling to achieve technical and organizational scalability. This talk will be about how we model our data, why we think it is the right thing to do, and the hard-won lessons learned in deploying Spark and Hadoop for such a task.

N.B.: Cette édition sera en anglais.

Nous servirons nourriture et breuvages, gracieuseté de Shopify, qui parraine cet événement.

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 :) !

 

appaquet@gmail.com

Big Data Montreal #34 (Joint event with DevOpsMTL)

Tickets: bdm34.eventbrite.ca

Update (Feb. 21st): Added sponsor and presentation on SparkSQL vs Impala. Event will start a 6pm.

Big Data Montreal would like to invite you to its thirty-fourth meeting!

Join us on Tuesday March 3rd 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 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 both by Jake Moshenko:

Jake is the product manager for the Quay.io container registry at CoreOS, a Linux distribution with containers as a first-class citizen and software distribution channel. Formerly of Google, Amazon, and Boeing, he has been building robust distributed systems for over 10 years:

  • Rocket: CoreOS’s own container format
    Presentation of Rocket, the App Container Specification, our motivation for creating it, how it compares and contrasts with Docker, how each tool might be better for a different job, and what the current status is (not production ready!).
  • CoreOS + Quay.io Development Lifecycle
    How CoreOS + Quay.io fit into the development lifecycle from the point when you push your git changes all the way through to running in production. I will talk about the problems CoreOS attempts to fix and some of the architeture affordances it requires on the part of the app developer.

And a few flash presentations:

  • SparkSQL vs Impala for interactive query, by Olivier Mirandette, architect at Guavus

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

There will be food and drinks courtesy of Lightspeed POS, our sponsors for this event.

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 :) !


Billets: bdm34.eventbrite.ca

Big Data Montréal vous invite à sa trente et quatrième rencontre!

Joignez-vous à nous le mardi 9 décembre à 18h30 pour assister à une conférence, ainsi que pour réseauter avec les autres enthousiastes montréalais du Big Data!

La rencontre aura lieu au 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 par Jake Moshenko:

Jake is the product manager for the Quay.io container registry at CoreOS, a Linux distribution with containers as a first-class citizen and software distribution channel. Formerly of Google, Amazon, and Boeing, he has been building robust distributed systems for over 10 years:

  • Rocket: CoreOS’s own container format
    Presentation of Rocket, the App Container Specification, our motivation for creating it, how it compares and contrasts with Docker, how each tool might be better for a different job, and what the current status is (not production ready!).
  • CoreOS + Quay.io Development Lifecycle
    How CoreOS + Quay.io fit into the development lifecycle from the point when you push your git changes all the way through to running in production. I will talk about the problems CoreOS attempts to fix and some of the architeture affordances it requires on the part of the app developer.

Et quelques présentations éclairs:

  • SparkSQL vs Impala for interactive query, by Olivier Mirandette, architect at Guavus

N.B.: Cette édition sera en anglais.

Nous servirons nourriture et breuvages, gracieuseté de Lightspeed POS, qui parraine cet événement.

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 :) !

Big Data Montréal #33 – Tuesday February 3rd – Hosted by Triton Digital

Tickets: bdm33.eventbrite.ca

Big Data Montreal would like to invite you to its thirty-third meeting!

Join us on Tuesday February 3rd at 6:30pm to attend a conference, as well as to network with other Big Data enthusiasts from Montreal!

NOTE: The meeting will be hosted by Triton Digital, which is located at 1440 St-Catherine West, Suite 1200.

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:

  • Big Data at Triton Digital by several Triton Engineers
    With an infrastructure capable of supporting millions of users listening to audio streams, as well as clients like Pandora, Spotify, CBS or Rdio who use their measurement systems, the volume processed by Triton Digial brings a lots of interesting challenges. This session will cover a high-level view of the architecture required to support this use-case as well as discussions around their experience with various technologies such as Druid, OpenTSDB and DataDog.

And a few flash presentations.

N.B.: This edition of BDM will be held in French

There will be food and drinks courtesy of Triton Digital, our sponsors for this event.

Finally, you are also welcome to stay at the venue after the presentations, for some casual networking.

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 trente troisième rencontre!

Joignez-vous à nous le mardi 3 dévrier à 18h30 pour assister à une conférence, ainsi que pour réseauter avec les autres enthousiastes montréalais du Big Data!

VEUILLEZ NOTER: La rencontre aura lieu chez Triton Digital, situé au 1440 Ste-Catherine Ouest, suite 1200.

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 plusieurs présentations à l’horaire:

  • Big Data chez Triton Digital, présenté par plusieurs ingénieurs de Triton
    Avec une infrastructure capable de supporter plusieurs millions d’usagés qui stream de l’audio et avec des clients comme Pandora, Spotify, CBS ou Rdio qui utilisent leurs services de mesures, le volume de data que entre chez Triton Digital apporte son lot de défis. En plus d’une présentation haut niveau de l’architecture nécessaire pour supporter ce volume, Triton propose de nous parler de leurs expériences avec différents produits incluant Druid, OpenTSDB et DataDog.

N.B.: cette édition de BDM sera en français

Nous servirons nourriture et beuvrages, gracieuseté de Triton Digital!

Finalement, vous êtes invités à rester sur place après les présentations, pour discuter et faire du réseautage.

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 :) !

Big Data Montreal #32 (Joint event with DevOpsMtl)

Tickets: bdm32.eventbrite.ca

Big Data Montreal would like to invite you to its thirty-two meeting!

Join us on Monday January 12th at 6:00pm to attend a conference, as well as to network with other Big Data enthusiasts from Montreal!

The meeting will take place at the 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 three scheduled presentations:

Going Beyond the Performance Limits of Public Cloud
Description: Nous parlerons rapidement de OVH et les chiffres clefs, ainsi que de l’objectif de Run Above. Nous regarderons aussi la carte du réseau et l’infrastructure Run Above ainsi que ses performances.

Par David-Olivier Gascon d’OVH (@DOatOVH, @OVH)
OVH est le 3e plus gros hébergeur Internet au monde et le plus gros en Europe. Nous avons ouvert le plus gros centre de données au monde (commercial) il y a deux ans, sur la rive sud de Montréal.
Langue: Français

AdamCloud (Part 2): Lessons learned from Docker
Description: AdamCloud is an ÉTS research project aiming to provide a portable genomic infrastructure based on Docker. We’ll present a quick recap of the project, the results of the first iteration, and what we’ve learnt from Docker: storage model, distributed networking, container monitoring, and best practices for writing Dockerfiles.
Par Sébastien Bonami, IT Engineering Student (@sbonami)
Et par David Lauzon, Researcher, ÉTS (LinkedIn)
Langue: présentation en français, slides en anglais.

Load balancing avec etcd & confd
Description: TBD
Par Michael Faille (@MikeFaille, +MikeFaille)
Langue: Français

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

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  :) !


Billets: bdm32.eventbrite.ca

Big Data Montréal vous invite à sa trente et unième rencontre!

Joignez-vous à nous le Lundi 12 Janvier à 18h00 pour assister à une conférence, ainsi que pour réseauter avec les autres enthousiastes montréalais du Big Data!

La rencontre aura lieu au 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 trois présentations à l’horaire:

Going Beyond the Performance Limits of Public Cloud
Description: Nous parlerons rapidement de OVH et les chiffres clefs, ainsi que de l’objectif de Run Above. Nous regarderons aussi la carte du réseau et l’infrastructure Run Above ainsi que ses performances.

Par David-Olivier Gascon d’OVH (@DOatOVH, @OVH)
OVH est le 3e plus gros hébergeur Internet au monde et le plus gros en Europe. Nous avons ouvert le plus gros centre de données au monde (commercial) il y a deux ans, sur la rive sud de Montréal.
Langue: Français

AdamCloud (Part 2): Lessons learned from Docker
Description: AdamCloud is an ÉTS research project aiming to provide a portable genomic infrastructure based on Docker. We’ll present a quick recap of the project, the results of the first iteration, and what we’ve learnt from Docker: storage model, distributed networking, container monitoring, and best practices for writing Dockerfiles.
Par Sébastien Bonami, IT Engineering Student (@sbonami)
Et par David Lauzon, Researcher, ÉTS (LinkedIn)
Langue: présentation en français, slides en anglais.

Load balancing avec etcd & confd
Description: TBD
Par Michael Faille (@MikeFaille, +MikeFaille)
Langue: Français

N.B.: Cette édition sera en anglais et francais.

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!

Big Data Montreal #31 – Tuesday December 9th 6:30pm at the RPM Startup Centre

Tickets: bdm31.eventbrite.ca

Big Data Montreal would like to invite you to its thirty-first meeting!

Join us on Tuesday December 9th at 6:30pm to attend a conference, as well as to network with other Big Data enthusiasts from Montreal!

The meeting will take place at the 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:

  • Spying on Hadoop with strace by Julia Evans, Machine Learning Software Engineer at Stripe
    Do you feel like you totally understand all the internals of the Hadoop ecosystem? How HDFS works? (I sure don’t!) Learning a little more about internals can help you use existing tools better, make appropriate architecture choices, and write better-performing jobs. To understand what’s going on, we’ll spy on exactly what information gets transmitted over the network with strace, and talk a little about how we can use that understanding to write smarter map/reduce jobs. You’ll come away understanding HDFS better and with some fun things to try out.
  • Introduction to Spark and MLlib by Reza Zadeh, consulting professor at Stanford and Technical Advisor to Databricks
    As computer clusters scale up, data flow models such as MapReduce have emerged as a way to run fault-tolerant computations on commodity hardware. Unfortunately, MapReduce is limited in efficiency for many numerical algorithms. We show how new data flow engines, such as Apache Spark, enable much faster iterative and numerical computations, while keeping the scalability and fault-tolerance properties of MapReduce. In this tutorial, we will begin with an overview of data flow computing models and the commodity cluster environment in comparison with traditional HPC and message-passing environments. We will then introduce Spark and show how common numerical and machine learning algorithms have been implemented on it.

And a few flash presentations.

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

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 :) !


Billets: bdm31.eventbrite.ca

Big Data Montréal vous invite à sa trente et unième rencontre!

Joignez-vous à nous le mardi 9 décembre à 18h30 pour assister à une conférence, ainsi que pour réseauter avec les autres enthousiastes montréalais du Big Data!

La rencontre aura lieu au 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:

  • Spying on Hadoop with strace by Julia Evans, Machine Learning Software Engineer at Stripe
    Do you feel like you totally understand all the internals of the Hadoop ecosystem? How HDFS works? (I sure don’t!) Learning a little more about internals can help you use existing tools better, make appropriate architecture choices, and write better-performing jobs. To understand what’s going on, we’ll spy on exactly what information gets transmitted over the network with strace, and talk a little about how we can use that understanding to write smarter map/reduce jobs. You’ll come away understanding HDFS better and with some fun things to try out.
  • Introduction to Spark and MLlib by Reza Zadeh, consulting professor at Stanford and Technical Advisor to Databricks
    As computer clusters scale up, data flow models such as MapReduce have emerged as a way to run fault-tolerant computations on commodity hardware. Unfortunately, MapReduce is limited in efficiency for many numerical algorithms. We show how new data flow engines, such as Apache Spark, enable much faster iterative and numerical computations, while keeping the scalability and fault-tolerance properties of MapReduce. In this tutorial, we will begin with an overview of data flow computing models and the commodity cluster environment in comparison with traditional HPC and message-passing environments. We will then introduce Spark and show how common numerical and machine learning algorithms have been implemented on it.

Et quelques présentations éclair.

N.B.: Cette édition sera en anglais.

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 :) !

Big Data Montreal 2014 Community Survey / Sondage de la communauté

(an English message will follow)

Bonjour à tous,

Dans le but d’améliorer votre expérience à Big Data Montréal, nous vous invitons à remplir un court sondage en ligne. Pour seulement 5 minutes de votre temps, nous serons davantage en mesure de préparer des événements qui seront plus intéressants pour vous.

Pour remplir le sondage en français, cliquez sur le lien ci-dessous:
http://goo.gl/ITMjDi

Cordialement,

- Les administrateurs de BDM

——————————————-

Hi everyone,

In order to improve your experience at Big Data Montreal, we invite you to fill a short survey online. Only 5 minutes of your time is kindly requested to help us prepare events that are more interesting to you.

To fill the survey in English, click on the link below:
http://goo.gl/3CNyOw

Best regards,

-The BDM Admin Team

Big Data Montréal #30 – Tuesday November 4th 6:30pm at the RPM Startup Centre

Tickets: bdm30.eventbrite.ca

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

Join us on Tuesday November 4th at 6:30pm to attend a conference, as well as to network with other Big Data enthusiasts from Montreal!

The meeting will take place at the 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 three scheduled presentations:

  • Discover you inner search engine by Alexandre Rafalovitch, author of the book “Apache Solr for Indexing Data How-to”
    Rapid introduction to how a startup/small business can add search to their existing stack, using open-source Apache Solr (in English). I’ll do a live demo with sample data and show rapid iterations on getting it into Solr and making it searchable. This talk is the second in the Search Engines series (following the talk on ElasticSearch in October by Colin Surprenant).
  • Everything you always wanted to know about Hadoop, but were afraid to ask! by Dan Mazur, Scientific Computing Analyst at Calcul Quebec, McGill University
    Hadoop is a widely-used, open-source framework for storing and processing large-scale data sets. During this presentation, you will learn the basic concepts behind Hadoop and MapReduce. Many of the confusing buzzwords associated with these technologies will be clarified. This talk is designed for professionals who would like enough information to discuss Hadoop with their corporate customers or to make an informed decision about whether to consider Hadoop within their organizations.
  • Best Practices for Interacting with the Spark Community by Nan Zhu, contributor to the Apache Spark project
    Flash presentation on how to ask questions, report bugs and submit patches to the Spark community.

And three flash presentations:

  • Mike Milner, CTO at Immunio
    Will be introducing his company, Immunio, and talk about their overall Big Data architecture (microservices, kafka, mesos, etc.).
  • David Lauzon, ÉTS
    BDM: 30th event and counting.
  • Julia Evans, Kernel Hacker
    Spying on Hadoop with strace (BDM 31′s teaser).

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

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 :) !


Billets: bdm30.eventbrite.ca

Big Data Montréal vous invite à sa trentième rencontre!

Joignez-vous à nous le mardi 4 novembre à 18h30 pour assister à une conférence, ainsi que pour réseauter avec les autres enthousiastes montréalais du Big Data!

La rencontre aura lieu au 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 une présentation à l’horaire:

  • Discover you inner search engine by Alexandre Rafalovitch, author of the book “Apache Solr for Indexing Data How-to”
    Rapid introduction to how a startup/small business can add search to their existing stack, using open-source Apache Solr (in English). I’ll do a live demo with sample data and show rapid iterations on getting it into Solr and making it searchable. This talk is the second in the Search Engines series (following the talk on ElasticSearch in October by Colin Surprenant).
  • Everything you always wanted to know about Hadoop, but were afraid to ask! by Dan Mazur, Scientific Computing Analyst at Calcul Quebec, McGill University
    Hadoop is a widely-used, open-source framework for storing and processing large-scale data sets. During this presentation, you will learn the basic concepts behind Hadoop and MapReduce. Many of the confusing buzzwords associated with these technologies will be clarified. This talk is designed for professionals who would like enough information to discuss Hadoop with their corporate customers or to make an informed decision about whether to consider Hadoop within their organizations.
  • Best Practices for Interacting with the Spark Community by Nan Zhu, contributor to the Apache Spark project
    Flash presentation on how to ask questions, report bugs and submit patches to the Spark community.

Et trois présentations éclair:

  • Mike Milner, CTO at Immunio
    Will be introducing his company, Immunio, and talk about their overall Big Data architecture (microservices, kafka, mesos, etc.).
  • David Lauzon, ÉTS
    BDM: 30th event and counting.
  • Julia Evans, Kernel Hacker
    Spying on Hadoop with strace (BDM 31′s teaser).

N.B.: Cette édition sera en anglais.

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 :) !

Big Data Montréal #29 – Tuesday October 7th 6:30pm at the RPM Startup Centre

Tickets: bdm29.eventbrite.ca

Big Data Montreal would like to invite you to its twenty-eight meeting!

Join us on Tuesday October 7th at 6:30pm to attend a conference, as well as to network with other Big Data enthusiasts from Montreal!

The meeting will take place at the 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 one scheduled presentation:

  • ElasticSearch ELK stack by Colin Surprenant, Software Engineer at ElasticSearch
    By combining the massively popular Elasticsearch, Logstash and Kibana, the Elasticsearch company created an end-to-end stack that delivers actionable insights in real-time from almost any type of structured and unstructured data source. This talk will present the ELK stack and how it can be used to search and analyse data easier than before.

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 :) !


Billets: bdm29.eventbrite.ca

Big Data Montréal vous invite à sa vingt-huitième rencontre!

Joignez-vous à nous le mardi 7 octobre à 18h30 pour assister à une conférence, ainsi que pour réseauter avec les autres enthousiastes montréalais du Big Data!

La rencontre aura lieu au 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 une présentation à l’horaire:

  • ElasticSearch ELK stack by Colin Surprenant, Software Engineer at ElasticSearch
    By combining the massively popular Elasticsearch, Logstash and Kibana, the Elasticsearch company created an end-to-end stack that delivers actionable insights in real-time from almost any type of structured and unstructured data source. This talk will present the ELK stack and how it can be used to search and analyse data easier than before.

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 :) !