Securing a web application is a challenge. The internet is awash with malicious traffic and, by their very nature, web applications are globally accessible. Although you probably can’t defend against a determined attacker, you can certainly keep script kiddies and bots at bay. Don’t make it easy for them and the baddies will move on and find someone else to annoy. We’ll look at the risks facing web applications, the basic steps you can take so that you don’t make yourself a target and the things you should do to avoid becoming a data breach statistic. We’ll also look at lessons that can be learnt from mistakes that others have made.

In a world of ever increasing amounts of data, one of the challenging problems we have as developers is exploring the relationships between the pieces of data and uncovering patterns that help us build better and more useful applications. Graph databases are a way of storing data where the relationships between the data are also first class citizens allowing us to develop things like recommendation engines or determining impacts of network maintenance quickly and easily. The big players like Facebook, Twitter and LinkedIn all use the graph and I will show you how you too can easily use the graph to make you applications better. This talk will be a whirlwind tour covering

• What is a graph?

• An overview of graph databases (and why they are awesome)

• Some demonstrations showing the power of graph databases to help solve complex problems easily.