This article discusses strategies for bulk loading data into Titan at varying scales, focusing on hundreds of millions and billions of edges using Faunus as the loading tool. It provides a step-by-step guide to loading the DocGraph dataset with approximately 1 million vertices and 154 million edges using a single Hadoop node running in pseudo-distributed mode. The article also demonstrates how to load the Friendster social network dataset, which represents a graph with 117 million vertices and 2.5 billion edges, using a four-node Hadoop cluster. It emphasizes that while there are common strategies for loading data at different scales, the actual approach must be adapted to the specific data and domain.