BDM 52 - Big Data Architectural Patterns and Best Practices on AWS

Apr 4, 2017 · Montréal, Canada

Big Data Montreal would like to invite you to its 52st meeting!

Join us on Tuesday April 4th 2017 at 6:00PM to attend a conference, as well as to network with other Big Data enthusiasts from Montreal!

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:

•  (Main) Big Data Architectural Patterns and Best Practices on AWS by Antoine Genereux, Solutions Architect at Amazon Web Services 

The world is producing an ever increasing volume, velocity, and variety of big data. Consumers and businesses are demanding up-to-the-second (or even millisecond) analytics on their fast-moving data, in addition to classic batch processing. AWS delivers many technologies for solving big data problems. But what services should you use, why, when, and how? In this session, we simplify big data processing as a data bus comprising various stages: ingest, store, process, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architecture, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost. *The session will not be streamed or recorded however presentation materials and references will be provided after the meetup*

Finally, you are also welcome to join us for some casual networking, in the same room, after the presentations, followed by a beer in a close by location.

Please tell your friends and colleagues :) !

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Big Data Montréal vous invite à sa 51ième rencontre!

Joignez-vous à nous le mardi 4 avril 2017 à 18h00 pour assister à une conférence, ainsi que pour réseauter avec les autres enthousiastes montréalais du Big Data!

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:

• (Main) Big Data Architectural Patterns and Best Practices on AWS by Antoine Genereux, Solutions Architect at Amazon Web Services 

The world is producing an ever increasing volume, velocity, and variety of big data. Consumers and businesses are demanding up-to-the-second (or even millisecond) analytics on their fast-moving data, in addition to classic batch processing. AWS delivers many technologies for solving big data problems. But what services should you use, why, when, and how? In this session, we simplify big data processing as a data bus comprising various stages: ingest, store, process, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architecture, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost. *The session will not be streamed or recorded however presentation materials and references will be provided after the meetup*

Finalement, vous êtes invités à vous joindre à nous après les présentations, dans la même salle, pour continuer à réseauter, ensuite de quoi nous pourrons aller prendre un verre proche.

Passez le mot et venez en grand nombre :) !

Event organizers
  • Big Data Montréal

    Big Data Montréal's mission is to make Big Data technologies and concepts accessible to everyone. Big Data Montréal helps the exchange of knowledge and the development of Big Data technology's documentation and understanding. Big Data Montréal actively promotes Open Source software and collaborates with active people in the Big Data ecosystem of the greater Montreal region. Neophytes and experts welcomed! Our meetups cover all aspects of Big Data. ==== La mission de Big Data Montréal est de démocratiser l’

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