The dbt (data build tool) is an open-source analytics platform that enables users to transform data in their warehouses by writing select statements. It handles materializing these select statements into objects in the database in the form of tables and views, performing the T of Extract Load and Transform (ELT). dbt allows users to define models representing concepts, which can be combined to produce more complex models, with the boilerplate SQL required to connect models automatically generated. The ClickHouse plugin for dbt supports an adapter plugin API to allow users to connect to data platforms not included in the core offering, and has been developed to support ClickHouse's capabilities. This plugin enables users to utilize dbt's capabilities with ClickHouse, allowing for the creation of views, tables, and incremental models that can be versioned, documented, and tested. The plugin also supports materialization using various methods such as view materialization, table materialization, and incremental materialization. Recent developments in the plugin include improved incremental materialization strategies, including the use of lightweight deletes, which perform significantly better than previous approaches. These improvements enable users to manage data integration tasks as code, track changes to rows in ClickHouse, and migrate data from other OLTP databases to ClickHouse for real-time analytical workloads.