Page 74 - Big data - Concept and application for telecommunications

2 Big data - Concept and application for telecommunications 2

3.2.7 raw data: Data from a data source without any alteration.

NOTE – Raw data is also known as unprocessed data.
3.2.8 service catalogue: A listing of all the big data services of a particular big data service provider.

4 Abbreviations and acronyms
This Recommendation uses the following abbreviations and acronyms:

API Application Programming Interface
BDC Big Data service Customer
BDSP Big Data Service Provider
DP Data Provider

5 Conventions

In this Recommendation:
The keywords "is required" indicate a requirement which must be strictly followed and from which no
deviation is permitted if conformance to this document is to be claimed.
The keywords "is recommended" indicate a requirement which is recommended but which is not absolutely
required. Thus this requirement need not be present to claim conformance.
The keywords "can optionally" indicate an optional requirement which is permissible, without implying any sense of
being recommended. This term is not intended to imply that the vendor's implementation must provide the option
and the feature can be optionally enabled by the network operator/service provider. Rather, it means the vendor
may optionally provide the feature and still claim conformance with the specification.

In the body of this document, the words shall, shall not, should, and may sometimes appear, in which case
they are to be interpreted, respectively, as is required to, is prohibited from, is recommended, and can
optionally. The appearance of such phrases or keywords in an appendix or in material explicitly marked as
informative are to be interpreted as having no normative intent.

6 Overview of big data exchange
Data exchange is a process of:

– receiving source data under a source schema from a data source;
– transforming the received source data into target data under a target schema without altering the
representation of the source data; and

– delivering the target data to the data target.
Appendix I provides a high-level view regarding data exchange procedures between two systems.
When applied to a big data ecosystem, data exchange will typically involve exchange of data among different
data sources (e.g., data providers) and data targets (e.g., big data service customers).
In the following, the term "big data exchange" is used to refer to "data exchange" in a big data ecosystem.
Big data exchange involves multiple processes including data import and data export. Big data exchange
enables exchanging data of multiple types and multiple formats from a data source to a data target.
Characteristics of exchanged data are as follows:
– types of exchanged data include structured data, semi-structured data and unstructured data;
– formats of exchanged data include text, spreadsheet, video, audio, image, geographical position,
map, and combinations of afore-mentioned formats (such as web documents, sensing data, media
streaming);

– exchanged data are categorized as raw (i.e., unprocessed) data and processed data.

66 Moving data – Data exchange and data flow