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application, and data architectures in relation to a suitable cloud deployment
model will be a key deliverable.
The scope and level of granularity and rigor of decomposition in this exer-
cise will depend on the relevance of the technical elements to attaining the
target cloud model, maturity of existing infrastructure, existing architecture
models and descriptions, and the extent it can sufficiently enable identifica-
tion of gaps and the scope of candidate/target cloud provision.
20.4.2.1 Data for the Cloud
The purpose of the to-be architecture for data for cloud is to define the data
entities (and their characteristics) relevant to the enterprise that will be pro-
cessed by the service and cloud-enabled applications. Moving to the cloud
may critically require data transformation and migration; hence, one con-
cern will be adopting suitable standards and processes that may affect all
data entities and processing services and applications whether existing or in
the target applications and architecture.
Undertaking transformation toward cloud requires careful understanding
and addressing information life-cycle management and governance issues.
Some of these issues relate to risk and security concerns that will constrain
the choice of platforms, cloud deployment architecture, service-level agree-
ments, etc. Some of the finer-grain considerations in data management for
cloud include access and identification, authentication, confidentiality, avail-
ability, privacy, ownership and distribution, retention, and auditability.
Data engineering requirements for the cloud include the following:
• Data architecture (and structure)
• Data management (processes)
• Data migration
• Data integration
• Data governance
20.4.2.2 Applications for the Cloud
The core objective here is to define the target platform and application archi-
tecture including cloud services, referenced across the technical and busi-
ness functions, data requirements, and business processes. The exercise will
highlight the extent and nature of interoperability and integration, migra-
tion, and operational concerns that need to be addressed. Cloud will not only
consolidate resources and change the way the services are consumed and
managed but also open new requirements and opportunities due to its prop-
erties and limitations.
The objective is to define the relevant types of applications and enable
technologies necessary to process the data and information effectively
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