- Enterprise Data Architecture

- Enterprise data strategy

- Current-state vs target-state architecture

- Domain-oriented data architecture

- Data platform standardization

- Technology selection and architecture principles

- Reference architectures and reusable patterns

- Data Modeling

- Conceptual, logical, and physical data models

- Relational modeling

- Dimensional modeling

- Star and snowflake schemas

- Data Vault

- Canonical data models

- Semantic models

- Domain models

- Normalization and denormalization

- Contemporary Data Platform Architecture

- Data Lake

- Data Warehouse

- Lakehouse

- Medallion Architecture: Bronze, Silver, Gold

- Data Mesh

- Data Fabric

- Data Hub

- Operational Data Store

- Enterprise Data Warehouse

- Batch and Real-Time Data Architecture

- Batch processing

- Streaming architecture

- Real-time processing

- Near-real-time processing





- Lambda architecture

- Kappa architecture

- Change Data Capture

- Event processing

- Stream processing

- Stateful and stateless processing

- Event-Driven Architecture

- Event producers and consumers

- Event brokers

- Pub/Sub architecture

- Event sourcing

- Event streaming

- Schema evolution

- Event contracts

- Idempotency

- Ordering and replay

- Dead-letter queues

- Exactly-once / at-least-once processing patterns

- Data Integration Architecture

- ETL

- ELT

- APIs

- Messaging

- CDC

- File-based integration

- Application-to-application integration

- Data synchronization

- Enterprise integration patterns

- API-led integration

📌 Empower Global Business Services -Solution Architect (Bengaluru)
🏢 Naukri e-Hire
📍 Bengaluru