THE BIG DATA EXPERTISE
METADATA FRANCE

Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate.
Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy. The term often refers simply to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. Data sets are growing rapidly in part because they are increasingly gathered by cheap and numerous information-sensing mobile devices, aerial (remote sensing), software logs, cameras, microphones, radio-frequency identification (RFID) readers and wireless sensor networks.

more info

what's new?

21
Oct
Splunk conf 2019 à Las Vegas
Back to Las Vegas! Cette année pour célébrer les 10 ans de la conférence utilisateur : conf19, Splunk retourne sur la côte Ouest des Etats-Unis, à Las Vegas (plus)
21
Oct
Splunk announces intent to acquire Streamlio
Splunk to Expand Streaming Expertise; Announces Intent to Acquire Streamlio, Open-Source Distributed Messaging Leader (plus)
21
Aou
Splunk has agreed to acquire SignalFX
Splunk has agreed to acquire SignalFX, a SaaS leader in real-time monitoring & metrics for cloud infrastructure, microservices and applications. This breadth of innovation will help customers deliver cost savings, increased revenue & an improved customer experience. (plus)
16
Aou
What' new in the New Splunk Machine Learning Tool Kit 4.4
https://www.splunk.com/blog/2019/08/14/what-s-new-in-the-splunk-machine-learning-toolkit-4-4.html (plus)
02
Avr
Splunk, une tour de contrôle pour les flux mondiaux de Bolloré Logistics
Bolloré Logistics s’appuie sur une quarantaine d’applications métier qui doivent échanger des informations au niveau mondial entres elles et avec les clients du logisticien. Une mécanique complexe aujourd’hui supervisée via l’outil Splunk. (plus)
Call us: +33 3 67 10 09 58
follow us: