Blog | Pragsis Bidoop

Pragsis will help Transports Metropolitans de Barcelona to improve public transport

Pragsis Bidoop wins two tender offers from TMB (Transports Metropolitans de Barcelona) to lead analytical initiatives and big data in this company for a period of 5 years.This participation will allow TMB to get unique insights from its data coming from different sources (metro and bus mainly).This opportunity completes Pragsis’ offering in Big Data analytics, with a whole perspective from transport industry to passengers. 
Pragsis Bidoop participates in a European anti-terrorist project

Pragsis Bidoop participates in a European anti-terrorist project

Pragsis Bidoop is involved in the DANTE project (Detecting and ANalysing TErrorist-related online contents and financing activities) which aims to detect terrorist activities in the digital environment.Pragsis Bidoop will apply its expertise in Big Data and analytics for monitoring information against potential terrorist risks in three areas: advertising (recruitment, incitement, radicalization, disinformation), training and finance.The area of digital security analytics is one of the biggest...
Developing with Apache Spark

Developing with Apache Spark

Launching apps on a cluster from EclipseIn this post we are going to tell how it is not necessary to deploy the code every time you want to test and use spark-submit, but prove it faster from your remote machine with Eclipse. Both for Java and Scala.Let’s suppose that we have a set-up cluster with Yarn and Apache Spark, and a remote machine with access to this cluster (without firewall or with appropriate ports open) where we will develop our code with Eclipse. (We are using Spark 1.4.1...

Agile methodologies and Big Data

Agile methodologies are no longer a novelty. In fact they have spread to many sectors, other than the traditional of software development.Agile methodologies emerged in the late 80s and early 90s of the last century in the software world, but it is not long ago when they have become popular, thanks in part to the lean paradigm and methodologies such as Scrum and Kanban.Among the fundamental techniques to support agile methodologies is Scrum, which consists of procedures to manage small teams of...

Pragsis has signed an alliance agreement with Couchbase

Pragsis has signed a partnership agreement with Couchbase, software developer of No-SQL type database.Couchbase database solutions are known for being scalable, deliver high performance, offer non-disruptive upgrade process (high availability) and allows the development of web, mobile and IoT applications.This agreement will allow Pragsis have advanced knowledge of Couchbase products, with the aim of offering as always the best options in analytics and big data to its customers.For more...

Pragsis has signed a partnership agreement with Docker

Pragsis has signed a partnership agreement with Docker, the software container company.Docker containers allow the creation of isolated and virtual Linux instances. Docker containers are ideal for Big Data platforms due to security and performance advantages. They are based on a much lighter virtualization architecture than traditional solutions, which virtualizes the operating system instead of the full server. In analytic environments, distributed infrastructures management is...
Risks in a Big Data project

6 areas of risk in a Big Data project

Regarding Big Data projects there are some common risks related to 6 areas that every company should have in mind:[[{"type":"media","view_mode":"media_large","fid":"1025","attributes":{"alt":"Areas of risk in a big data project","class":"media-image","height":"480","typeof":"foaf:Image","width":"256"}}]]Business objectivesYou should decide what you want to get with big data initiatives and have it clear:Big Data is not for everyone, being in a traditional data-warehouse and BI environments...

Pragsis becomes the first Silver partner of Hortonworks in Spain

Pragsis Bidoop has become the first Silver partner in Spain. Pragsis has proved its knowledge in HDP (Hortonworks Data Platform).Moving forward in its commitment with providing the best end-to-end analytic big data solutions, support & consulting services, and training to customers. More information at Hortonworks' site.

Pragsis will participate in an Eurostars project

Pragsis will lead the use of Big Data technologies in the AtTRACT (An immersive Approach To RetAil CusTomership) project for Eurostars, an EU program specifically dedicated to support the niche market of research-performing SMEs in their innovative R&D projects. AtTRACT will be a SaaS solution to provide a unified but personalized experience for customers across retail channels, that will allow retailers to increase ARPU (Average Revenue Per User) through better conversion rates using...

Big Data Brunch 29th June 2015: Lineage, Governance and Security

In the last Big Data Brunch held on June 29, 2015, major international companies in the Big Data sector gathered in Madrid. As representatives of the ecosystem Hadoop, Cloudera, and Hortonworks Mapr were present. On the side of the integrators was Informatica. As an application of Big Data technologies, Analyticmate presented its plug-and-play analytic solution.Rob Anderson of MapR pointed out the need to have adequate tools to do a good data governance. In Data Lineage “there is no perfect...

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