Explain the concept of sharding in OrientDB.
Sharding in OrientDB is a technique used to horizontally partition data across multiple nodes in a distributed environment. The goal of sharding is to distribute the dataset evenly across nodes to improve scalability, performance, and fault tolerance.
Each shard contains a subset of the dataset, and together, the shards form a distributed database cluster.
Here's how sharding works in OrientDB :
* Partitioning Data
* Distributing Shards
* Balancing Data
* Handling Queries
* Ensuring Fault Tolerance
* Scaling Out
