BigDataFr recommends: Quick Guide to learn Statistics for R Users-with Titanic Data Set People are keen to pursue their career as a data scientist. And why shouldn’t they be? After all, this comes with a pride of holding the sexiest job of this century. But, in order to become one, you must master ‘statistics’ in […]
Author: Big Data
[L’Usine Digitale] Big Data – Sophia Genetics s’appuie sur les séquençages ADN des hôpitaux pour mieux diagnostiquer le cancer
BigDataFr recommande: Big Data – Sophia Genetics s’appuie sur les séquençages ADN des hôpitaux pour mieux diagnostiquer le cancer Dirigée par un Français, la start-up suisse Sophia Genetics aide les hôpitaux à analyser les données génétiques générées par le séquençage de l’ADN des patients. Elle espère bouleverser le monde du diagnostic, en misant sur le […]
[analyticsvidhya] BigDataFr recommends: Quick Guide to learn Statistics for R Users-with Titanic Data Set
BigDataFr recommends: Quick Guide to learn Statistics for R Users-with Titanic Data Set People are keen to pursue their career as a data scientist. And why shouldn’t they be? After all, this comes with a pride of holding the sexiest job of this century. But, in order to become one, you must master ‘statistics’ in […]
[HAL] BigDataFr recommends: Towards Cloud big data services for intelligent transport systems
BigDataFr recommends: Towards Cloud big data services for intelligent transport systems Abstract In later years, the increase in computation power and data storage has opened new perspectives to data analysis. The possibility to analyse big data brings new insights into obscure and useful correlations in data providing undiscovered knowledge. Applying big data analytics to the […]
[ZDNet] BigDataFr recommande : Big Data : comment sécuriser ses projets ?
BigDataFr recommande : Big Data : comment sécuriser ses projets ? Une étude du cabinet Accenture, en France, fin 2014, montre que dans le déploiement du Big Data, la sécurité reste le « principal défi », pour ne pas dire obstacle : 60% des dirigeants interrogés le mentionnait en premier lieu, devant le coût et […]
[HAL] BigDataFr recommends: Towards Cloud big data services for intelligent transport systems
BigDataFr recommends: Towards Cloud big data services for intelligent transport systems Abstract In later years, the increase in computation power and data storage has opened new perspectives to data analysis. The possibility to analyse big data brings new insights into obscure and useful correlations in data providing undiscovered knowledge. Applying big data analytics to the […]
[O’R] BigDataFr recommends: The O’Reilly Data Show Podcast-Todd Lipcon (#Cloudera)
BigDataFr recommends: Resolving transactional access and analytic performance trade-offs The O’Reilly Data Show Podcast-Todd Lipcon (#Cloudera) on hybrid and specialized tools in distributed systems. Excerpt HDFS and HBase [Hadoop is] more like a file store. It allows you to upload files onto an arbitrarily sized cluster with 20-plus petabytes, in single clusters. The thing is, […]
[McKinsey] BigDataFr recommends: Discussions on digital: The new war for talent
BigDataFr recommends: ‘Discussions on digital: The new war for talent Excerpt In a wide-ranging discussion, several Silicon Valley leaders discuss how data is transforming talent management, what millennials value, and where the next digital hub could be located. It’s no secret that one of the biggest challenges companies face when it comes to adopting and […]
[economie matin] BigDataFr recommande : Entreprise : comment maîtriser l’usage du Big Data
BigDataFr recommande :Entreprise : comment maîtriser l’usage du Big Data Les technologies Big Data se multiplient, les algorithmes prédictifs sont de plus en plus puissants et la responsabilité entourant l’exploitation de la donnée pèse lourd sur les épaules des entreprises. Quelle démarche adopter afin de ne pas franchir des limites incertaines tout en maintenant son […]
[Forbes] BigDataFr recommends: 2015 Big Data Market Update
BigDataFr recommends: 2015 Big Data Market Update ‘Data is getting big by the day. Very big. According to IBM 2.5 quintillion bytes of data are created every day. A good chunk of this data is generated by what has come to be known as the Internet of Things (IOT)– connected devices like smartphones, tablets, vehicles, […]