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1 Big data - Concept and application for telecommunications
7.1.2 CSP: big data application provider (CSP:BDAP)
The CSP: big data application provider (CSP:BDAP) is a sub-role of the CSP executing a set of data lifecycle
operations to meet the requirements of data analysis and visualization, as well as the security and privacy
requirements. The CSP:BDAP utilizes the services from the CSP:BDIP for big data services and provides
analysis result to the CSC: big data service user (CSC:BDSU).
Types of CSP:BDAP activities include:
– visualizing data;
– analysing data.
7.1.2.1 Visualize data activity
The visualize data activity is responsible for presenting data with multiple styles, such as statistical graphics,
forms, diagrams, charts, reports, etc., through visualization and reporting tools and services. The big data
service user (BDSU) can easily and quickly understand the meaning of data through data visualization. Direct
interaction between reporting tools and CSC operational systems is also supported.
Types of big data visualize activities include:
– business intelligence;
– data reporting;
– data exploration.
7.1.2.2 Analyse data activity
The analyse data activity is a process to extract and discover useful information or valuable insights from big
data.
Types of big data analyse activities include:
– statistical analysis;
– predictive analysis;
– content analysis.
7.1.3 CSP:big data infrastructure provider (CSP:BDIP)
CSP:big data infrastructure provider (CSP:BDIP) is the sub-role of the CSP providing cloud computing
resources (such as system hardware, a network, storage and computing platforms) in order to execute big
data processing, while protecting the privacy, retention policy and integrity of data.
Types of CSP:BDIP activities include:
– performing data collection;
– performing data storage;
– providing data pre-processing;
– providing data integration;
– managing data protection;
– managing data provenance.
7.1.3.1 Perform data collection activity
The perform data collection activity is responsible for gathering and searching of data. Data in a cloud
computing environment that could be transported through Internet, such as web, video, audio, radio
frequency identification (RFID), sensor and social network data and data obtained in other ways can be
categorized into three types as follows:
– structured data, such as record data persistent in databases;
– semi-structured data, such as data stored in XML, HTML and other format documents;
– unstructured mass data, such as log files, video and audio data.
14 Basics of Big data