Learn how Graph Technology can help to identify risk and fraud patterns in order to quickly respond.

Trying to modernize monolithic legacy applications is hard: these applications are core drivers of the business and the risk of messing them up is too great.

Software and web developers often wear many hats, but some lack the knowledge to design or collaborate effectively with UX designers and researchers.

When it comes to data-driven user interfaces, like those utilizing graph data, it’s vital to understand your users and what they’re trying to achieve.

Continuous Discussions is a weekly online panel discussion which is sponsored by Electric Cloud and discusses a variety of topics around Agile, Continuous Delivery and DevOps with a range of different speakers.

What do my users want to do with Big Data? How do they want to visualize it, interact with it and manage it? How big is my data, really? How much data can a human deal with at one time, and how much data should we process at one time? How can the UX accommodate data sources that respond at different rates?

Are you a Product Manager looking to show some early design directions to stakeholders and end-users? Are you a Developer needing a little more direction from the design team? Or a UX Designer or Researcher trying to figure out how detailed your designs need to be to communicate your intentions and get valuable feedback from users?

Ever wonder about the best way to visualize your application’s data sets?

A design pattern, as we explained in our January 2015 blog post, is “a good, reusable solution for a common but specific interaction design problem.” In this online seminar, Lynn Pausic and I present design problems that are often seen in applications and sites with large or complex data sets. We also give 10 examples of patterns that can be used to solve those problems–things like how to set up a complex data table to view status at a glance, or when to employ column filtering so users see only what they choose to see.