Data
Architecture
IT’S USEFUL TO DIVIDE
DATA ARCHITECTURE
INTO TWO MAIN GOALS:
101
Data architecture is an umbrella
term that encompasses data
storage, computational
resources, and everything in
between. All the technology that
supports the collection,
processing, and dashboarding of
data is included in the architecture.
WHO HANDLES
DATA ARCHITECTURE?
Data architects. They diagnose
both the physical maladies in the
data pipeline and the organizational
habits that are detrimental to the
health of the system. They are often
embedded in the IT team, but are
multidisciplinary agents.
1.
Providing stability and
continuity of service
as a user base
(and data stores) scale
DATA
ARCHITECTS:
2.
Ensuring that data and
processes are securely
protected from bad actors
or sloppy mistakes
Design and build the
best architecture
for an organization
Calculate ROI
Translate
business needs
to technological
solutions
Together, these priorities work to
create, support, and govern
modifications of the data pipeline
and underpin all the strength and
business value of data initiatives.
Monitor backups
and fault tolerance
Support change
management
Explore
competing
suppliers
Evaluate data
scientists’
technical needs
Adjust operations
as the organization
scales