diff --git a/pages/data-warehouse/concepts.mdx b/pages/data-warehouse/concepts.mdx index 1341eef6c2..58b6495c68 100644 --- a/pages/data-warehouse/concepts.mdx +++ b/pages/data-warehouse/concepts.mdx @@ -42,6 +42,8 @@ ClickHouse® uses advanced compression algorithms to reduce storage requirements ClickHouse® supports distributed processing across multiple nodes, allowing it to handle extremely large datasets efficiently and scale horizontally. This architecture enables ClickHouse® to distribute data and queries across a cluster, improving performance and reliability by leveraging the combined resources of all nodes. +Refer to the official [ClickHouse® documentation](https://clickhouse.com/docs/engines/table-engines/special/distributed) to learn more about the Distributed table engine. + ## Horizontal scaling Horizontal scaling refers to the process of adding more nodes to the cluster to increase its capacity and performance. This approach allows the cluster to handle larger datasets and higher query loads by distributing the data and processing tasks across additional nodes. Data Warehouse for ClickHouse® deployments [scale automatically](#autoscaling) according to the incoming workload.