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DOMAIN-DRIVEN DESIGN OF BIG DATA SYSTEMS (Big data & big data system…
DOMAIN-DRIVEN DESIGN OF BIG
DATA SYSTEMS
Big data &
big data system
real world situation
:creating business
value from data has been popular
method
:adopt technical capacity and the infrastructure
difficulty
:lack of selection of the right features and a proper design of the big data architecture
solution approach
:put forware a domain-driven approach
Domain Engineering
Application Engineering
Big data system
Data Storage
Information Management
Data Processing
Data Analysis
Interface and Visualization components
application architecture
:
design rules
feature model
Feature model
what is feature model
: it defines common and variant features of a domain.
include
：common and variant features
necessary features are selected from the family feature model
application feature model is checked against the feature constraints of the family feature model
Domain-Driven Design Approach
Introduced it two key activities:domain engineering and application engineering
select papers as input for deriving a domain model,reference architecture and design rules.
Features, their relationships, and dependencies are described in a model as a feature diagram
or tables
A feature diagram is constructed as a tree
reference architecture
define and explain reference architecture
introduce big data reference architecture
design rules
domain model
reference architecture
use the features and feature constraints
Future model
Data
Dimensions
:mobility,structure,processing.security and modality
Structure
:Unstructured,Semistructured or Structured
Information management
data security and privacy feature becomes vital
Interface and visualization
DataProcessing
Data Storage
in-memory processing
Data Analysis