4. 1.- Identificación datos
The Guardian, and Netflix in US and Europe
via smart home devices (Woolf, 2016). In
expected to emerge in 2021 as hackers find
devices and protocols (Jones, 2016).
(2017) the expenditures towards worldwide
each an amount of $96B by the end of 2018.
will become extra conscious of the security
and inadequate protection against attacks by
s. The U.S. Federal Cybersecurity Market
within the next five years (Security, 2017). It has also been highlig
that in new generation applications, data stream processing
emerged as one of the potential research areas, in which, data
tinuously flows into the processing site. In data stream, real-time
constantly arrives from the external source with certain time inter
Input data can change between a few bytes per seconds to gigabytes
second (Di Mauro & Di Sarno, 2014).
The above discussion, followed by the use case scenarios prese
below have motivated this present paper to focus on real-time anom
Fig. 1. The sequence of real-time big data generation, processing and anomaly detection.
eddit, The Guardian, and Netflix in US a
smart home devices (Woolf,
emerge in 2021 as h
(Jones, 2
Fig. 1. The sequence of real-time
Datos internos
Datos externos
Proceso
extracción
información
5. Tipología datos ▪ Datos estructurados
▪ Datos NO estructurados
▪ Datos SEMI estrucuturados
Proceso
extracción
información
14. Sistemas de Big Data
Ricardo García Ródenas
Ricardo.Garcia@uclm.es
Proceso extracción
información
• Proceso
• Etapas identificación y almacenamiento