Data Architecture:
Data architecture should be designed to support the organization's strategic objectives and enable effective data analysis for decision-making.
Components of data architecture:
- Data sources: Where data originates from (internal systems, external sources)
- Data storage: How data is stored (databases, data warehouses, data lakes)
- Data integration: Processes for combining data from multiple sources
- Data access methods: How users and applications access data
Learn about data terminologies: Data, Database, DBMS, Data format, Data flow, Cache, Tables, Index, Regular expressions, NoSQL.
Learn about Data Models: Business Data, Conceptual Data, Doman Data, Logical Data, Canonical Data Model (acts as a translator)
Learn about Data Quality: Confidentiality (Encryption, Anti-Tampering, Authentication), Integrity (A data item has the same value in each part of a distributed system) , Availability
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