Abstract: The present disclosure involves systems, software, and computer implemented methods for efficient shared bulk loading into optimized storage. One example method includes identifying a data set on a client to load to a server. Load steps that can be performed either on the client or the server are identified. Values for load factors are determined. Load rules are determined that are based on load factors and are for determining processing locations for the load steps. A processing location of either the client or the server is determined for each load step, based on the load rules. Load steps that have a processing location of the client are executed on the data set, on the client. The data set is transferred from the client to the server, over a network. Load steps that have a processing location of the server are executed on the data set, at the server.

Abstract: The present disclosure involves systems, software, and computer implemented methods for efficient shared bulk loading into optimized storage. One example method includes identifying a data set on a client to load to a server. Load steps that can be performed either on the client or the server are identified. Values for load factors are determined. Load rules are determined that are based on load factors and are for determining processing locations for the load steps. A processing location of either the client or the server is determined for each load step, based on the load rules. Load steps that have a processing location of the client are executed on the data set, on the client. The data set is transferred from the client to the server, over a network. Load steps that have a processing location of the server are executed on the data set, at the server.