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Pangool - Hadoop API made easyopen source, easy Hadoop API, implements Tuple MapReduce
http://www.pangool.net/
open source, easy Hadoop API, implements Tuple MapReduce
http://www.pangool.net/
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Datasalt Systems S.L.
Ivan de Prado Alonso
C/Per●●●●●, 4 B
Se●●ia , Segovia, 40005
Spain
View this contact
Datasalt Systems S.L.
Ivan de Prado Alonso
C/Per●●●●●, 4 B
Se●●ia , Segovia, 40005
Spain
View this contact
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Pangool - Hadoop API made easy | pangool.net Reviews
https://pangool.net
open source, easy Hadoop API, implements Tuple MapReduce
Pangool - Getting Started
http://pangool.net/getting_started.html
License (APL 2.0). Download the Pangool bootstrap. Project, and start coding with Pangool. There are available Maven artifacts for Pangool. We also provide a "bootstrap" project to simplify starting developing with Pangool. For Hadoop 0.20.X and 1.X. Dependency groupId com.datasalt.pangool /groupId artifactId pangool-core /artifactId version 0.70 /version /dependency. And include a Hadoop dependency for the Hadoop version you are using (preferible with scope "provided"). For Hadoop 2.X and YARN. Cd app-m...
Pangool - User guide - Reduce-side Joins
http://pangool.net/userguide/joins.html
Tuples, Schemas and Types. Group by / Sort By. One of the most interesting features of Pangool is its inherent reduce-side join capabilities. In this section we’ll comment one of the examples that can be found in the examples. Sub-project of Pangool ( the URL resolution example. To illustrate how easy it is to perform arbitrary reduce-side joins with Pangool. We have one file with URL registers: [. And another file with canonical URL mappings: [. And URL mappings grouping by. TupleMRBuilder mr = new Tupl...
Pangool Benchmark
http://pangool.net/benchmark.html
License (APL 2.0). In order to demonstrate that Pangool performs comparable to Hadoop, we have designed a benchmark and executed it in EC2. This benchmark has been updated as of 12th of March of 2012. We take this benchmark seriously. We have made all its details publicly available so if you find something wrong or have any comment you can just tell us or submit a pull request. You can run this benchmark anytime by following its instructions and if you find something weird, please tell us. For this bench...
Pangool - Introduction
http://pangool.net/introduction_3.html
License (APL 2.0). Introduction to Pangool: Topical Word Count (3/3). This introduction guides you into the basics of Pangool through a Word-Count-like example. Finally, you'll learn how to use Pangool's easy secondary sort. And how to write to different outputs. From a Tuple MapReduce Job! Now we'll expand the "topical word count" example to compute a "fingerprint" for each topic. We will do two things:. Use secondary sort to emit the top n words for each topic. Tuples, TupleMRContext context, Collector...
Pangool - Sponsors
http://pangool.net/sponsors.html
License (APL 2.0). We would like to take this opportunity to thank our sponsors. Klicap - ingeniería del puzle, S.L. Klicap brings to this project an instance of Clinker Cloud. Is a Software Development Ecosystem. Based on the integration of stable and consolidated solutions approved by developers, communities and businesses. A picture is worth a thousand words. Take a look at Clinker Brochure.
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Splout SQL's architecture
http://sploutsql.com/architecture.html
Installing and running Splout. Loading an example dataset. Splout SQL is a read-only DB. Because of this, the overall architecture is quite simple. Splout SQL is installed on a cluster of commodity hardware machines. Each of the machines runs a DNode. Service and optionally a QNode. But there must be at least one QNode service among the cluster. QNodes implement a REST API. For serving users' queries or receiving deploy / rollback requests. Because data is partitioned. Data balancing and indexing. The DN...
Splout SQL
http://sploutsql.com/index.html
Installing and running Splout. Loading an example dataset. Ready for the web. Splout allows serving an arbitrarily big dataset. With high QPS rates. And at the same time provides full SQL. Query syntax. Splout is appropriated for web page serving, many low latency lookups. Scenarios such as mobile or web applications with demanding performance. Plays well with Hadoop. For decoupling database creation. From database serving. The data is always optimally indexed. Splout is horizontally scalable.
Blog | Datasalt
http://www.datasalt.com/blog
A scalable groupByKey and secondary sort for (Java) Spark. Written by Pere Ferrera Bertran. On December 9, 2015. Spark is, in our opinion, the new reference Big Data processing framework. Its flexible API allows for unified batch and stream processing, and can be easily extended for many purposes. It also incorporates a new API called Data Frames. Which will bring it to the next level. Covers some of them. SQL on Hadoop: A state of the art. Written by Pere Ferrera Bertran. On April 1, 2014. And (2) a pro...
Pangool | Datasalt
http://www.datasalt.com/products/pangool
Datasalt has released Pangool. A Java implementation of the new Tuple MapReduce. Distributed processing paradigm that simplifies the development of Big Data applications. Pangool is free software that makes the development of highly efficient Big Data applications fast and simple, thanks to its native support of the most common development patterns. Joins, sorting, secondary and compound registers. Compared to the native Hadoop implementation. Tuple as the unit of information. The use of tuples. One of t...
Blog de Datasalt - Una mirada tecnológica a las tendencias en Big DataDatasalt
http://www.datasalt.es/blog
Datasalt y el programa de Experto Big Data de la universidad U-Tad. Escrito por Iván de Prado Alonso. En marzo 17, 2015. Datasalt ha diseñado y está coordinando. El Programa de Experto Big Data. De la universidad U-Tad. El curso está impartido por profesionales del Big Data de Datasalt y de compañías punteras cuyo conocimiento ha sido adquirido enfrentándose a problemas Big Data reales. Leer más…. El estado actual del “SQL para Hadoop”. Escrito por Pere Ferrera Bertran. En abril 3, 2014. Flexibilidad: Lo...
Pangool: Big Data fácil - DatasaltDatasalt
http://www.datasalt.es/productos/pangool
Pangool: Big Data fácil. Datasalt ha liberado Pangool. Una implementación Java del nuevo paradigma de procesamiento distribuido Tuple MapReduce. Que simplifica el desarrollo de aplicaciones Big Data. Pangool es software libre que permite el desarrollo rápido y sencillo de aplicaciones Big Data de la máxima eficiencia, gracias a su soporte nativo para los patrones de desarrollo más comunes. Joins, ordenación secundaria y registros compuestos. Con respecto a la implementación nativa de Hadoop. Uno de los p...
Important Hadoop Components/Ecosystem – BigData
http://www.hadoopadmin.co.in/important-hadoop-componentsecosystem
You can have data without information, but you cannot have information without Big data. Pros & Cons of BigData. Planning of Hadoop Cluster. Installing kerberos/Configuring the KDC and Enabling Kerberos Security. Configure SPNEGO Authentication for Hadoop. Disabled kerberos via ambari. Common issues after Disabling kerberos via Ambari. Enable https for ambari Server. Enable SSL or HTTPS for Oozie Web UI. Commits and Optimizing in Solr and its use for NRT. Get last access time of hdfs files. Master comput...
unsupportedoperation.blogspot.com
Unsupported Operation: March 2012
http://unsupportedoperation.blogspot.com/2012_03_01_archive.html
Unsupported Operation: Weekly Java and JVM News from Richard and Mark. Sunday, March 25, 2012. Unsupported Operation Episode 69. 10x performance improvement, massive memory usage improvement. Continuous Deployment with Jenkins/Tomcat. All your ROOT are belond to us. Cliff Click leaves Azul systems to form 0xdata and build H2O database. An easy to use fluent Java DSL for Hadoop queries. ZooKeeper 3.3.5. Weld 1.1.6. A model for improving names. PHPStorm / WebStorm 4.0 EAP 117.65. IntelliJ IDEA 11.1 RC3.
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Pangool - Hadoop API made easy
License (APL 2.0). For Hadoop: MapReduce made easy. Download IEEE ICDM 2012 Paper: Tuple MapReduce: beyond classic MapReduce. Support for Tuples instead of just Key/Value pairs. Secondary sorting as easy as it can get. Built-in reduce-side joining capabilities. Configuration by object instance instead of classes. First-class multiple inputs and outputs. Built-in serialization support for Thrift and ProtoStuff. 100% Hadoop compatibility. 0.20.X, 1.X, 2.X and YARN. Easier Hadoop. Same performance. Deep det...
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PANGOON DEVELOPMENT | Verbindet Technologie, Design und Funktionalität
Hallo Wir sind Pangoon Development. Unsere Leidenschaft ist die Entwicklung von individuell angefertigten Weblösungen in Verbindung von Technologie, Design und Funktionalität. Deine Ideen. Unsere Lösungen. Pangoon Development nimmt dir alle Schritte der Projektrealisierung ab. Von der Konzeption, über die Umsetzung bis hin zur fertigen Webseite. Was unterscheidet deine Seite von der Konkurrenz? Das leisten wir für dich. Höchste Standards. Auf allen Geräten. Durch neuste Gestaltungsprinzipien entwickeln w...
PANGOON DEVELOPMENT | Verbindet Technologie, Design und Funktionalität
Hallo Wir sind Pangoon Development. Unsere Leidenschaft ist die Entwicklung von individuell angefertigten Weblösungen in Verbindung von Technologie, Design und Funktionalität. Deine Ideen. Unsere Lösungen. Pangoon Development nimmt dir alle Schritte der Projektrealisierung ab. Von der Konzeption, über die Umsetzung bis hin zur fertigen Webseite. Was unterscheidet deine Seite von der Konkurrenz? Das leisten wir für dich. Höchste Standards. Auf allen Geräten. Durch neuste Gestaltungsprinzipien entwickeln w...
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pangooolin | a digital portfolio
A las penas punaladas. Guia de mis animales imaginarios. El bestiario (work in progress). Julio 30, 2011. Arrachecoeur. . antique plume and chinese ink. l’arrache-coeur by boris vian. read it and enjoy. the drawing has nothing do with the book. More wrinkles more smiles? Mayo 30, 2011. El bestiario (work in progress). Blog de WordPress.com. El tema Inuit Types. Blog de WordPress.com. El tema Inuit Types. Seguir “pangooolin”. Recibe cada nueva publicación en tu buzón de correo electrónico.
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