The foundational pillars

Data Management Concepts

Sharon Omwega

Data Scientist

Architecting excellence in system design

Data architecture includes models, policies, rules and standards for data assets
Frameworks guide development and implementation e.g. TOGAF
Scalability
Adaptability
Flexibility
Adherence to policies
Effective metadata management
Robust security

Architectural plans on a table with a compass, protractor, reading glasses, a pen and a ruler on top of them.

¹ Images in this lesson were created using Freepik

Multiple laptops arranged, with cloud logos above them and a database image with dotted lines showing connectedness.

Data integration unifies diverse data sources
This reduces redundancy, complexity and destroys silos
Activities include ETL processes, data replication, real-time integration

People sitting or standing next to a magnified laptop, clock and mobile phone looking at their digital devices.

Real-time integration uses streaming data sources, middleware solutions, and specialized integration tools
Important to track data quality, latency, volume and system uptime
Data retrieval time should be minimal

A blue screen with a blue background and a blue diagram representing a sample data model.

Database and storage management includes organization, optimization and safeguarding of data repositories
Involves implementing DBMS
Activities include effective indexing, data compression, and archiving strategies

A man lounging with a laptop and databases in his background with a cloud image hovering over them, representing data storage.

Data Management Concepts