
aseigneurin.github.io
Alexis Seigneurin - BlogBig Data Engineer & Managing Consultant at Ippon USA - Based in Washington, DC, USA
http://aseigneurin.github.io/
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
https://aseigneurin.github.io
Big Data Engineer & Managing Consultant at Ippon USA - Based in Washington, DC, USA
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 ...
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 ...
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:.
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.
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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alexseifert
Jacksonville Real Estate - April Seifert - Coldwell Banker Sea Coast Advantage Realty
Be the first to know. Receive e-mail notifications when properties meeting your search criteria come onto the market! Discover how the dream of home can be a reality. Selling your home is a big move. Literally. See how we simplify this process. Why buy or sell your home with me? April Seifert - Coldwell Banker Sea Coast Advantage Realty. Real Estate Website by realistiQ iQ Web. 2015 Coldwell Banker Sea Coast Realty. Equal housing opportunity. An equal opportunity company. Listings updated 15 minutes ago.
ASEI
ASEI is a systems engineering consulting company specializing in Guidance, Navigation, and Control of aircraft and munitions. From initial concept definition, through system specification, including control system design, flight software generation, weapon integration and test, aircraft compatibility, and captive and free flight testing. ASEI provides the knowledge, experience, and personnel to make any weapon test program a success. Test flight of missile in boost phase. And performed system integration.
Bad und Heizung Solartechnik Pelletsheizung Wärmepumpen Mülheim an der Ruhr
Ihr Fachbetrieb für moderne Heizungen. Ihr Traum und Wellnessbad. Wir gestalten Ihr individuelles Traumbad - für jeden Anspruch die passende Lösung. Eine gut gewartete Heizungsanlage spart bares Geld. Also lassen Sie die Effizienz der Anlage regelmäßig überprüfen! Mit einer modernen Heizung sparen Sie jede Menge Geld und schonen die Umwelt! Wir zeigen Ihnen wie das geht. Mehr. Entspricht mein Bad in 20 Jahren noch meinen Bedürfnissen? Strom mit Wärme erzeugen. Wärme von der Sonne , die Solaranlage. Die E...
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.
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