Architecture Flashcards

1
Q

Deliverables of data architecture

A

enterprise data model
data flows
data value chains
data architecture design
roadmap

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2
Q

TOGAF domains

A
  1. business architecture
  2. data architecture
  3. application architecture
  4. technology architecture
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3
Q

Components of Enterprise Architechture

A

Data model (entities and attributes)
Process Model (actions)
System (programming)
Technology (how it can be delivered)
Business needs

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4
Q

Enterprise Architechture

A

the process of translating business vision and strategy into effective enterprise change (series of models to describe the current and future state)
High level.

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5
Q

Segment architechture

A

detailed, formal description of areas within an enterprise within a business segment. Includes tech consideration etc.

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6
Q

Solutions architecture

A

addresses specific problems and requirements

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7
Q

Three types of enterprise architechture

A

enterprise, segment, solutions

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8
Q

As-is models

A

current

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9
Q

To-be models

A

future

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10
Q

TOGAF acronym

A

The Open Group Architecture Framework

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11
Q

ADM (architecture development method)

A

series of recommended artefacts in all four domains that can be tailored and chosen.

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12
Q

Zachman architecture frameworks

A

defines artefacts in a 6x6 matrix, with interrogatives (what, how, where, who, when, why) as columns and stakeholder perspectives as rows (executive, business, architect, engineer, technician, instances)

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13
Q

BIAT

A

Business, information, applications, technology

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14
Q

Levels of model in a data architechture

A

conceptual -> subject area -> logical -> physical
All of these refer to the enterprise data model.

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15
Q

CRUD

A

create
read
update
delete

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16
Q

Crud model axes

A

business processes, major entities/subject areas

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17
Q

The enterprise data model will delivers

A
  • communicates business information requirements
  • provides the foundation & guidelines for data development
  • aligns with other business models
  • provides visuals representation of business data
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18
Q

Information lifecyle

A

Plan -> design -> create -> store -> use -> enhance ->

(+dispose of)

19
Q

Lifecycle 4 key activities

A
  1. management data quality throughout its lifecycle
  2. manage metadata quality
  3. manage data security
  4. focus on the most critical data
20
Q

ROT

A

manage data that is redundant, obsolete and trivial

21
Q

Plan stage of information lifecyle

A

define…
strategy
documentation requirements
governance framework
monitoring framework
tool selection
information classification
data retention and disposition
staff competencies
models for cost of data ownership

22
Q

Specify stage of information lifecyle

A
  • gather data requirements
  • data modelling
23
Q

Enable stage of information lifecycle

A

infrastructure is provisioned in this stage

24
Q

Create ad acquire stage of information lifecycle

A

where information is acquired

25
Q

Maintain & Use stage of information lifecycle

A

where business value is derived
- monitor data quality as data may be transformed
- back-up and archive data

biggest stage

26
Q

Archive & retrieve stage of information lifecycle

A

where information is archived as defined in the planning stage
- test and verify that archived information can be used.

27
Q

Purge stage of information lifecycle

A

where information is deleted as specified during the planning stage
- will purged data still be recoverable?

28
Q

SDLC

A

Software development lifecycle
requirement analysis -> design -> implement -> test evolve

29
Q

Key architecture domains

A

Business, data, application and technology architechtures

30
Q

Entities are (within enterprise data architecture)

A

standard terms that are necessary to run an organisation

31
Q

How do data architects add value to your business?

A

By creating and maintaining organisational knowledge about data and the systems through which it moves
By identifying opportunities for data usage, cost reduction, and risk mitigation
By facilitating alignment between Business and IT
By acting as a bridge between business strategy and technology execution

32
Q

What does a data architect do?

A

design data and make sure it fits within the existing data landscape

33
Q

What is architecture

A

it’s the process of defining and designing the business, data, application and technology requirements of the business as well as the outputs.

34
Q

3 outputs of architechture

A
  • communication to different audiences
  • construction (blueprint)
  • evaluation (on whether it meets standards)
35
Q

Example business architecture artifacts (documents), and how they relate to data

A
  • business model (data entities)
  • organisation chart (data ownership)
  • business processes (using the data)
36
Q

Two types of data lineage/data flow diagram

A
  • matrix (entities down the side, processes along the top)
  • flow diagrams (links to application architecture)
37
Q

Technology architecture purpose

A

describe the physical technology needed to enable systems to function and deliver value

38
Q

BIAT

A

Business Information Application Technology

39
Q

Zachman Framework (outline)

A

6 columns (WHAT, How, who, where, when, why)
Rows (executive level, business management, Architect, Engineer, Technician, Enterprise (people who use the model))

40
Q

TOGAF framework no. phases

A

Nine core phases

41
Q

Data Architects

A

guardians for our data landscape, preventing new systems from being adopted that do not meet the Enterprise expectations for data.

42
Q

Purpose of data arcitechture

A

Describing how data should be organised and managed

43
Q

What are the 3 perspectives that the DAMA DMBOK views data architecture from?

A

Outcomes, Activities and Behaviour