How does Go handle data storage and retrieval in distributed systems?

Go provides various libraries and packages for handling data storage and retrieval in distributed systems. Here are some of the ways Go handles these tasks:

Database Integration: Go offers support for popular databases like PostgreSQL, MySQL, and SQLite through third-party libraries. This allows for easy integration of database functionality into Go applications.

Distributed File Systems: Go has built-in support for distributed file systems like Hadoop Distributed File System (HDFS) and Google File System (GFS). This makes it easy to store and retrieve large amounts of data across multiple nodes in a cluster.

Remote Procedure Calls (RPCs): Go provides support for RPCs through the built-in net/rpc package. This allows for communication between distributed systems in a secure and efficient manner.

Message Queueing: Go has several libraries for implementing message queueing systems, such as RabbitMQ, Apache Kafka, and NATS. These can be used to manage the flow of data between distributed systems.

Key-Value Stores: Go offers support for key-value stores like Redis, Memcached, and LevelDB. These are useful for storing and retrieving data in a distributed manner.

Overall, Go offers a wide range of tools and libraries for handling data storage and retrieval in distributed systems, making it a suitable choice for building distributed applications.