Any concept.
clear in 60 seconds.

Data residency is crucial for compliance with laws about where data can be stored.

Data warehouses help businesses analyze large amounts of data for better decision-making.

Database per Service ensures each microservice owns its data, reducing dependencies.

Retention policies help manage how long data is kept in databases.

Choosing between a shared database and a database per service affects system design significantly.

Downsampling and aggregation reduce data volume while preserving essential trends.

Sharding splits databases into smaller parts to improve performance and scalability.

The choice between SQL and NoSQL databases depends on your application's specific needs.

Time-series databases are designed to store and query time-stamped metrics efficiently.

Transactions ensure database operations are reliable using ACID properties.

Time-based partitioning organizes time-series data into smaller, efficient segments for better querying.

Choosing the right boundaries for microservices is crucial for effective architecture.