Summary
JADS Master - Advanced Data Architectures Summary
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Summary for the Advanced Data Architectures course of the Master Data Science and Entrepreneurship.
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1. Software & Data ArchitectureSoftware Architecture
● Set of structures of a software system (elements, relationships, visible properties).
● Set of principal design decisions (structure, behavior, non-functional properties,
implementation, goals, etc.).
▶ Important because:
● Vehicle for stakeholder communication.
● Manifests the earliest set of design decisions.
● Transferable abstraction of a system.
▶ Key elements:
● Components.
● Connectors.
● Configuration Topologies.
Components
Elements that encapsulate processing and data in a systems architecture.
● Subset of systems functionality and/or data.
● Access through an explicitly defined interface.
● May have a specific execution context.
▶ Types:
● Computations: does a computation (i.e. function).
● Memory/Data: maintains collection of data (i.e. database).
● State Manager (Coordinator): contains state and operations (i.e. workflow manager).
● Controller: governs a time sequence of events (i.e. scheduler).\
Connectors
Elements tasked with effecting and regulating interactions.
▶ Types:
● Procedure call (i.e. RPC).
● Message passing.
● Events.
● Shared data access.
Topology
Set of specific associations between the components and connectors.
Architectural Pattern
A reusable solution to a commonly occurring problem in software architecture with a given
context.
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, 3-Tier Architecture
● Components: clients, application servers, database servers.
● Connectors: RPC, messaging.
● Topology: three levels.
● Pros:
+ Maintainability.
+ Reusability.
+ Reliability.
+ Scalability.
● Cons:
- Tightly coupled.
- Less support for agile.
Data Architecture
The models, policies, rules, and standards that govern which data is collected and how it is
stored, arranged, integrated, and put to use in data systems and in organizations.
Operational Data Plane
Data produced and consumed by the business application.
Analytical Data Plane
Data that is used to determine business strategy and decisions.
2. Service-Oriented & Microservice Architecture
Web Service
Programmatically available application logic exposed over the internet.
Service-Oriented Architecture (SOA)
Composing applications by discovering and invoking network-available services. Utilizes
services as the construct to support the development of rapid, low-cost, and easy
composition of distributed applications.
▶ Web services in SOA perform encapsulated business activities:
● Self-contained business task (i.e. funds deposit).
● Full-fledged business process (i.e. automated purchasing of supplies).
● Application (i.e. demand forecasts).
● Service-enabled resource (i.e. access to a particular backend resource).
Types of Web Services
● Informational Services (i.e. weather report, simple financial info, etc.).
● Complex Services (i.e. supply chain application involving order taking, stocking
orders, sourcing inventory control, etc.).
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