The book "Systems for Big Graph Analytics" offers a comprehensive introduction to the analysis of large graphs derived from real-world applications such as social networks and knowledge graphs. It is aimed at readers who want to familiarize themselves with the various computational models of graph processing systems without having to invest a lot of time. The structure of the book is divided into three parts, each addressing one of the three popular computational models for analyzing large graphs: think-like-a-vertex, think-like-a-graph, and think-like-a-matrix. While the vertex-centric model is widely used, the other two models are actively researched to solve graph problems that cannot be efficiently addressed by the vertex-centric model. The authors present modern systems and emphasize both technical innovations and practical experiences in working with these systems. The book is intended for beginners as well as students, researchers, and practitioners who wish to develop their own graph analysis systems with new features.