NoSQL Data Flow Architecture

Question 1

Describe MongoDB Data Flow Architecture

Answer 1

Data Ingestion
Storage & Processing
Replication and Sharding
Data Access and Delivery
Integration and Output

Question 2

Data Ingestion

Answer 2

Data Ingestion (applications, or external systems (API’s, IoT, user input), sending data to MongoDB, often in JSON like documents, via drivers or connectors

Question 3

Storage and Processing

Answer 3

MongoDB stores data in flexible, schema-less collections within replica sets (for HA) or sharded clusters (for scalability).

Data is processed using queries, aggregations, or real time analytics

Question 4

Replication and Sharding

Answer 4

Data is Replicated across nodes for fualt tolerance and optionally sharded across clusters to handle large-scale distributed workloads

Question 5

Data Access and Delivery

Answer 5

Applications, Dashboards, and/or API’s will query mongoDB to retrieve data, leveraging indexes for performance and features like change streams for real-time updates

Question 6

Integration & Output

Answer 6

MongoDB integrates with analytics tools, ML pipelines, or external systems