User Experience with Big Data

Établi : May 24, 2012

Big data analytics requires new workflows: high latency queries, massively-parallel code, and cloud computing infrastructures all make handling a big dataset different (and harder) than working on a local machine.

We are exploring user experiences for analysts, and thinking about new ways to deal with big datasets.

BigDataUX: building a better user experience for Big Data

Lots of different definitions can be found for «big data,» but they all have one aspect in common: big data is inconvenient. It’s too big to fit on screen, or in memory, or on disk. There are more fields than are easy to articulate.  And it is so ill-organized and messy that it will take a fair bit of nursing to get it into usable shape.

We want to explore what technologies will make it easier for users—for data scientists, business intelligence analysts, or anyone with a dataset—to clean, process, and interact with big datasets. To do that, we’ve assembled a collaborative team: specialists in UX, visualization and computer-language experts, back-end algorithms and system builders; database designers.

Personne

Portrait de Badrish Chandramouli

Badrish Chandramouli

Partner Research Manager

Portrait de Mary Czerwinski

Mary Czerwinski

Partner Researcher and Research Manager

Portrait de Rob DeLine

Rob DeLine

Senior Principal Researcher

Portrait de Steven Drucker

Steven Drucker

Partner Research Manager