I spent a year as an interaction designer with Teradata. Our primary product was a closed-system portal that database administrators used to monitor the health and performance of their giant systems. And I mean "giant" - Walmart used a Teradata system to track their every transaction. These are large data sets to say the least.
The work ranged from small improvements to new products to a bit of marketing collateral. One theme recurred - how can we make sense of tons of data? The work here was characterized by deep complexity which doesn't lend itself well to a quick overview, but here are some of the more digestible examples.
Charting portlet. Supports up to ten metrics, each at their own scale, along with averages, thresholding, and range (min/max per day). This allowed us to visualize many, many hundreds of data points in a compact, comprehensible-across-the-room manner.
Part of a configuration portlet, this drillable heatmap gave an at-a-glance overview of system disk usage (via the size of the boxes) along with per-subsystem trends (via color) and an overall system trend (via the chart across the top).
One of the many complex configuration screens that required some serious education for me to understand what I was trying to represent.
A series of quick marketing poster concepts.
Teradata
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