When: afternoons of 19 and 20th of October 2017

Where: UNIFR / HEIA-FR

What (in french): Ce workshop organisé par IT-Valley s’adresse à tout informaticien désirant découvrir l’univers du Big Data et de la Data Science. Au programme, deux journées jalonnées d’exercices pratiques autour des technologies Hadoop et des frameworks d’analyse distribués.  Une partie des exercices se feront sur l’infrastructure DAPLAB

Registration:  https://goo.gl/uQD99T

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Thanks to a great team effort, the DAPLAB stack has been updated to the latest version. We are now running HDP 2.6.1 !

The following technologies have also been upgraded in the process:

We hope you will enjoy the new features that are now available,

happy coding !

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DAPLAB has made available the resources needed to create the dataset as well as to perform some of the computations. A great thanks to our collaborators Benoit Perroud and Chistophe Bovigny for their work !

We hope this is just the beginning of fruitful collaborations with external researchers and companies and that our infrastructure will help more researchers in their ground-breaking works.

Taking advantage of the growing amount of structured data produced on the Web is critical for a number of tasks, from identifying tail entities to enriching existing knowledge bases with new properties as they emerge on the Web. While this information has been essentially exploited by commercial companies, it remains an under-explored ground for the research community where several fundamental research challenges arise.

VoldemortKG’s goal is to provide tools, knowledge and models to extract and match structured pieces of data with high confidence in addition to provenance data, which constitutes a playground for researchers interested in a number of tasks including entity disambiguation & linking, entity typing, ad-hoc object retrieval or provenance management.

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DAPLAB actually interested many people who contacted us after the presentation. DAPLAB is indeed offering a good opportunity for SMEs to enter the Big Data and Data Analytics arena.

Extract of what was said during the presentation and Q/A session (in French):

 … DAPLAB est un laboratoire ouvert à toutes les entreprises et chercheurs qui se posent la question du Big Data. Dans ce domaine, le ticket d’entrée est cher, il faut des machines et des experts. Les grands s’y mettent. Nous réduisons la barrière à l’entrée pour les PME. Nous les accompagnons dans l’exploration et la valorisation des données. Le Canton de Fribourg participe au financement …

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The official Apache versions of most HDP 2.4.2 components are unchanged from HDP 2.4.0.0, with the exception of Spark and Kafka. Spark is upgraded from 1.6.0 to 1.6.1; Kafka is upgraded from 0.9.0 to 0.9.0.1.

More info: Hortonworks HDP 2.4.2 release notes

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We’ll open the room C00.11/15 at Ecole des Ingénieurs et Architectes de Fribourg (EIA-FR) at 6pm to give time to warmup our laptops and environments. Signs will be put in place to make your way safely to the room. The official contest starts at 6:30 pm and last for 4 hours. Drinks will be available for participants.

Please reach out in Hipchat or @DAPLABCH for more details. Teams can be formed on Thursday, but you MUST register before Feb 9. Please mention you’ll participate through the “Ecoles des Ingénieurs de Fribourg”‘s hub, this will help our logistic!

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The first session we’re proposing is called Zefix Notifier. In a nutshell, we’ll ingest data from the Central Business Names Index of Switzerland (Zentraler Firmenindex, or Zefix in short). We’ll also let any user enter some keywords, which we’ll match with the new data ingested, and notify (via email or callbacks) when a match is found.

The following deck is explaining in more detail the project: Zefix Notifier Project

It’s not mandatory to come to every sessions of the project, you can come any time and start to work with us from where we are.

See you on Thursdays!

Update: The work of day 1 is detailed in the Github project.

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