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aseigneurin.github.io

Alexis Seigneurin - Blog

Big Data Engineer & Managing Consultant at Ippon USA - Based in Washington, DC, USA

http://aseigneurin.github.io/

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Alexis Seigneurin - Blog | aseigneurin.github.io Reviews
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Big Data Engineer & Managing Consultant at Ippon USA - Based in Washington, DC, USA
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Alexis Seigneurin - Blog | aseigneurin.github.io Reviews

https://aseigneurin.github.io

Big Data Engineer & Managing Consultant at Ippon USA - Based in Washington, DC, USA

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aseigneurin.github.io aseigneurin.github.io
1

Utiliser Apache Spark en cluster

http://aseigneurin.github.io/2014/11/13/utiliser-apache-spark-en-cluster.html

Utiliser Apache Spark en cluster. Dans les précédents posts, nous avons utilisé Apache Spark avec un exécuteur unique. Spark étant un framework de calcul distribué, nous allons maintenant monter un cluster en mode. Un cluster Spark se compose d’un master. Et d’un ou plusieurs workers. Le cluster doit être démarré et rester actif pour pouvoir exécuter des applications. Au cluster, à savoir de la mémoire et des cœurs de traitement. Dont le traitement sera piloté par un driver. Les nœuds du cluster (master ...

2

Kafka Streams - Scaling up or down

http://aseigneurin.github.io/2016/10/07/kafka-streams-scaling-up-or-down.html

Kafka Streams - Scaling up or down. Kafka Streams is a new component of the Kafka platform. It is a lightweight library designed to process data from and to Kafka. In this post, I’m not going to go through a full tutorial of Kafka Streams but, instead, see how it behaves as regards to scaling. By scaling, I mean the process of adding or removing nodes to increase or decrease the processing power. To do so, Kafka Streams will register all the instances of your application in the same. I have also created ...

3

Spark - File formats and storage options

http://aseigneurin.github.io/2016/11/08/spark-file-formats-and-storage-options.html

Spark - File formats and storage options. I recently worked on a project in which Spark was used to ingest data from text files. The team was struggling to read the files with acceptable performance. That lead me to analysing a few options that are offered to you when using Spark. I am reviewing them here. The files are received from an external system, meaning we can ask to be sent a compressed file but not more complex formats (Parquet, Avro). Options to be tested. I tested multiple combinations:.

4

Podcast Nipdev sur Spark

http://aseigneurin.github.io/2014/12/19/podcast-nipdev-sur-spark.html

Podcast Nipdev sur Spark. Cette semaine, j’ai été interviewé par Fabrice Croiseaux. Pour le podcast Nipdev. Pendant une heure, nous avons parlé de Spark. Le podcast est en ligne sur le site Nipcast. Et peut être écouté ci-dessous :. Merci à Fabrice et Antoine de m’avoir offert cette opportunité. Vous souhaitez en savoir plus sur Spark? Invitez-moi pour un Brown Bag Lunch.

5

Spark & Kafka - Achieving zero data-loss

http://aseigneurin.github.io/2016/05/07/spark-kafka-achieving-zero-data-loss.html

Spark and Kafka - Achieving zero data-loss. Kafka and Spark Streaming are two technologies that fit well together. Both are distributed systems so as to handle heavy loads of data. Making sure you don’t lose data does not come out-of-the-box, though, and this post aims at helping you reach this goal. TL;DR - Connect to Kafka using Spark’s Direct Stream approach and store offsets back to ZooKeeper (code provided below) - Don’t use Spark Checkpoints. Overview of the problem. Messages can be lost). That bei...

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Intervenants - Codeurs en Seine

http://www.codeursenseine.com/2014/speakers.html

Rencontre de codeurs à Rouen : Web, Agile, Java, Innovation. Jeudi 27 novembre 2014. Plénière - Bienvenue and Keynote Bunkr. Alexis reviendra sur l'histoire de Bunkr des premiers jours dans notre appartement Rouennais ; à la levée de fonds de 1M ; sans oublier toutes les anecdotes de ces 2 dernières années! Plénière - Extremist Programming. Bien sûr notre métier est sérieux ; le Software Craftmanship n'est-il pas avant tout le professionnalisme? D'aller plus loin et d'explorer? Bien sûr le progrès vient ...

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Alexis Seigneurin - Blog

Big Data Engineer and Managing Consultant at Ippon USA - Based in Washington, DC, USA. 2016-11-08 - Spark - File formats and storage options. I recently worked on a project in which Spark was used to ingest data from text files. The team was struggling to read the files with acceptable performance. That lead me to analysing a few options that are offered to you when using Spark. I am reviewing them here. 2016-10-07 - Kafka Streams - Scaling up or down. 2016-09-01 - Spark - Calling Scala code from PySpark.