Big Data Montréal #43 – Tuesday December 1st

Register here: http://www.meetup.com/fr/Big-Data-Montreal/events/227066630/

Big Data Montreal would like to invite you to its 43rd meeting!

Join us on Tuesday December 3rd at 18h30 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 main presentation scheduled:

  • Hadoop Streaming Architecture in Action to Power Decision Making in Real-time by Dmitry Baev, Manager Solutions Engineering, Canada, Hortonworks Inc.
    A Demonstration of leveraging the power of a common Hadoop Data Lake to power realtime decision making. In this presentation Dmitry will walk through a Streaming Architecture built on Hortonworks Data Platform (HDP) based on a Lambda architecture  — HBase, Kafka, and Storm — to ingest realtime streaming events into the Data Lake thus allowing through YARN for access to the data both Interactively — SQL Queries through Hive on Tez — and realtime analytics through Spark Machine Learning.
  • Get the best from your cluster using YARN by Jean-Louis Quéguiner Senior Big Data Developer Wajam
    Having a big cluster in nice, but are you sure you are using it as efficiently as you can ? Yarn is a map reduce manager, that we help you to schedule, manage the memory and CPU allocated to your Map Reduce jobs. However in a distributed environment a cluster can be composed of different nodes that have different architecture (variable CPU, Memory or even Vendor). We will present how to tune up your cluster using YARN on a real life use case and how appropriate YARN tuning solved pipeline delays following major increase in data flow size.

Finally, you are also welcome to join us for some casual networking, in the same room, after the presentations, followed by a bear at Brasseurs de Montreal.

Please tell your friends and colleagues :) !

 


 

Réservez vos billets ici: http://www.meetup.com/fr/Big-Data-Montreal/events/227066630/

Big Data Montréal vous invite à sa 43e rencontre!

Joignez-vous à nous le mardi 1er 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 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.

Nous avons 2 présentations complètes à l’horaire:

  • Hadoop Streaming Architecture in Action to Power Decision Making in Real-time by Dmitry Baev, Manager Solutions Engineering, Canada, Hortonworks Inc.
    A Demonstration of leveraging the power of a common Hadoop Data Lake to power realtime decision making. In this presentation Dmitry will walk through a Streaming Architecture built on Hortonworks Data Platform (HDP) based on a Lambda architecture  — HBase, Kafka, and Storm — to ingest realtime streaming events into the Data Lake thus allowing through YARN for access to the data both Interactively — SQL Queries through Hive on Tez — and realtime analytics through Spark Machine Learning.
  • Get the best from your cluster using YARN by Jean-Louis Quéguiner Senior Big Data Developer Wajam
    Having a big cluster in nice, but are you sure you are using it as efficiently as you can ? Yarn is a map reduce manager, that we help you to schedule, manage the memory and CPU allocated to your Map Reduce jobs. However in a distributed environment a cluster can be composed of different nodes that have different architecture (variable CPU, Memory or even Vendor). We will present how to tune up your cluster using YARN on a real life use case and how appropriate YARN tuning solved pipeline delays following major increase in data flow size.

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 aux aux Brasseurs de Montréal.

Passez le mot et venez en grand nombre :) !

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