Batch data manipulation in N1QL, a query language for Couchbase, offers robust support for both singleton and batch data transformations through Data Manipulation Language (DML) operations. This includes using the UPDATE statement to add and initialize new attributes in documents or to split an existing attribute into multiple attributes, as well as utilizing the INSERT statement to handle batch data insertion and to copy data between buckets for experimentation. Additionally, the UPSERT operation allows for merging changes from one data bucket to another, ensuring that updates are efficiently managed. These batch operations, which can be challenging to implement without the flexibility of SQL, are facilitated by N1QL's support for JSON, making it easier for users to conduct large-scale data manipulations. Cihan Biyikoglu, Director of Product Management at Couchbase, highlights these capabilities, providing references for further exploration of DML statements like INSERT, UPDATE, UPSERT, MERGE, and DELETE.