Enable the business user and you will add value to your business Creating dashboards with Pentaho Layout Editor2 What gaps in the market are most lucrative? Which products will ensure our success over the next few years? Data visualization such as dashboards can help to find the answers to these questions but they mostly have to be created by developers. At Pentaho Community Meeting, Nuno Pereira will present Layout Editor, a tool that enables business users to create their analyses and dashboards without needing the help from the IT department. zum Artikel
despite the fact that he recently has left the company. zum Artikel
Håkon who are you?
I am a person that likes to build things. At work, I build cubes, jobs, and transformations. zum Artikel
Luis, who are you?
My name is Luis. I graduated in Physics and went on to do research in computational Geophysics. zum Artikel
How to handle day-to-day challenges of Pentaho Ensuring the integrity and converting a file based repository2
Though not being supported file based repositories are frequently used in Pentaho. Mihai Rizea and Antonio Pacheco have developed a set of routines to inform the developer and to aid him in avoiding the common pitfalls of deploying code on a file based repository. They will present it at Pentaho Community Meeting in November. zum Artikel
“Our huge reporting infrastructure is based on Pentaho Business Analytics” CERN: 15,000 users are exposed to content provided by Pentaho2 With 15,000 potential users, CERN is one of the largest Pentaho users in the world. The European Organization for Nuclear Research uses Pentaho since 2014 and thus offers a wide range of fascinating use cases. Gabriele Thiede and Jan Janke have been working with Pentaho at CERN for years and after having presented the different aspects of the project at past community meetings (PCM17 and PUM18), they will share it with us at Pentaho Community Meeting in Bologna. zum Artikel
Wer mit einem Machine Learning-Projekt beginnen möchte, ist gut beraten, sich erstmal gründlich umzuschauen. Denn nicht alle Machine Learning Frameworks eignen sich für jedes Projekt gleich gut. Die Infografik „Matrix zu Machine Learning Frameworks“ ist genau dafür entwickelt. Sie soll eine Hilfestellung bei der Evaluierung des richtigen Frameworks sein. Dr. David James, Data Scientist bei it-novum, erläutert die Hintergründe der Matrix. zum Artikel