The value of connected data is well understood by the NoSQL community. In recent years we have witnessed an explosion of interest in datastores optimized for connected data, not least graph databases. As new use cases develop, more and more applications built on graph data find their way into the workplace. As a result, enterprise architects, analysts and data scientist need to communicate their graphs to a non-technical audience of business users. This is where visualization plays a vital role. Graph visualization tools give end users rapid insight into complex connected data without technical knowledge. They can make decisions, perform graph analysis and query graph databases without the need to learn obscure query languages. Increasingly too, these advanced tools not only help answer the ‘who / why / how’ questions, but also the where and when. This tutorial will give an overview of the different approaches and techniques for visualizing graphs, as well as a summary of the different tools available.

Questions covered include:

• Which tools are available for visualizing graph data?
• What functionality should I look for?
• How can I use graph visualization to answer where and when questions?
• How should I go about my graph visualization project?