BigDataFr recommande : Big Data : MapR surfe sur la vague Spark pour consolider Hadoop […] MapR, qui commercialise une distribution Hadoop, entend accompagner l’extension des stratégies Big Data des entreprises vers le temps réel avec le lancement de sa propre distribution Spark, le projet Open Source le plus en vue du moment. « L’objectif […]
Documentation
[HAL] BigDataFr recommends: Big Data Management Challenges, Approaches, Tools and their limitations
BigDataFr recommends : Big Data Management Challenges, Approaches, Tools and their limitations Keywords: Big data, V model, data management architectures, NoSQL Abstract […] Big Data is the buzzword everyone talks about. Independently of the application domain, today there is a consensus about the V’s characterizing Big Data: Volume, Variety, and Velocity. By focusing on Data […]
[Datascienceplus – Tutorial] BigDataFr recommends: Visualizing obesity across United States by using data from Wikipedia
BigDataFr recommends: Visualizing obesity across United States by using data from Wikipedia […] In this post the author will show how to collect data from a webpage and to analyze or visualize in R. For this task the author will use the rvest package and will get the data from Wikipedia. He got the idea […]
[Déjà juillet : don’t miss the deadline!] Les inscriptions au Master 2 Datascience de Paris-Saclay se terminent #datascientist
#DataScientist: Don’t miss the deadline! Les inscriptions au Master 2 Data Science de Paris-Saclay se terminent ! Inscrivez-vous maintenant Modalités de candidature Guide de l’inscription en ligne Master 2 Mathématiques et applications, Parcours Data Sciences ENSAE ParisTech, ENSTA-ParisTech, École Polytechnique, Télécom ParisTech – Université Paris Sud Responsable : Eric Moulines (École Polytechnique, Centre Mathématiques Appliquées) Patrick Duvaut, […]
[Analyticsvidhya – Tip] BigDataFr recommends: 12 Free Mind Mapping Tools For a Data Scientist To Enhance Structured Thinking
BigDataFr recommends: 12 Free Mind Mapping Tools For a Data Scientist To Enhance Structured Thinking […] Let us start this with a simple exercise, the kind of which every data scientist faces regularly: « You have been appointed as a store manager for our worst performing store. What are the possible factors / changes you would […]
[arXiv] BigDataFr recommends: Limited Random Walk Algorithm for Big Graph Data Clustering
BigDataFr recommends: Limited Random Walk Algorithm for Big Graph Data Clustering Subjects: Social and Information Networks (cs.SI); Physics and Society (physics.soc-ph) […]Graph clustering is an important technique to understand the relationships between the vertices in a big graph. In this paper, we propose a novel random-walk-based graph clustering method. The proposed method restricts the reach […]
[HAL – Rapport] BigDataFr recommande : Traitement de données bioinformatiques massives (Big Data)
BigDataFr recommande : Traitement de données bioinformatiques massives (Big Data) Mots-clés : Big Data, données bioinformatiques, recherche d’informations Résumé […] Les volumes des données bioinformatiques disponibles sur le Web sont en constante augmentation. L’accès et l’exploitation conjointe de ces données très réparties (i.e., disponibles dans des sources de données distribuées sur le Web) et fortement […]
[Code – Facebook] BigDataFr recommends: Lighting the way to deep machine learning
BigDataFr recommends: Lighting the way to deep machine learning […] Building rapid and clean prototypes for deep machine-learning operations can now take a big step forward with Torchnet, a new software toolkit that fosters rapid and collaborative development of deep learning experiments by the Torch community. Introduced and open-sourced this week at the International Conference […]
[Informatique News – ITV Experts] BigDataFr recommande : Tirer le meilleur du Data Warehouse et du Data Lake – Frédéric Brousse, Informatica France
BigDataFr recommande : Tirer le meilleur du Data Warehouse et du Data Lake Frédéric Brousse, Informatica France […] Selon une récente enquête réalisée par le cabinet de conseil PAC, le Big Data est amené à croître de 35% par an en France d’ici à 2019. Se pose alors la problématique du stockage, de l’intégration, du […]
[Forbes] BigDataFr recommends: Why ‘Big Data’ Means Nothing Without ‘Little Data’
BigDataFr recommends: Why ‘Big Data’ Means Nothing Without ‘Little Data’ […] It’s easy to get caught up in the hype of big data. Huge datasets, fast-moving analytics, complex and diverse data sources are hot right now, but it’s important to understand that big data would be nothing without the little data that goes along with […]