.@philsimon on the proliferation of "as a service" terms.
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A few weeks back I noted that one of the objectives on an inventory process for reference data was data harmonization, which meant determining when two reference sets refer to the same conceptual domain and harmonizing the contents into a conformed standard domain. Conceptually it sounds relatively straightforward, but as
The panel moderator looks out over the audience. It’s a large crowd. For the first time ever, Big Data, Hadoop, and the Internet of Things are appearing on stage together. The conversation has just begun, so let’s listen in for a minute. Big Data: “…and people have been trying to
We were once oblivious to data. It was in the background. Just noise. The “byproduct” of applications that we used every day. A nuisance that screwed up every system migration or install. Now, we wonder, who’s seeing our data? How might they use it? We constantly check and review our
If you work in a data quality team then chances are you’ll experience that awkward moment when someone in your organization asks the obvious question: "So what does a data quality team do?" Most people (outside of data quality) find this a relatively straightforward question to answer, but it always
.@philsimon on the importance of timing.
Yesterday was one of the two times a year that an equinox occurs. From its Latin roots, the term equinox translates as equal night since, on the day of an equinox, daytime and night are of approximately equal duration. This occurs because during an equinox the Sun is aligned with the center of the
[ce·leb·ri·ty], noun. the state of being well known Media exposure, good or bad, is the surest way to gain celebrity. Just ask any child actor gone bad in Hollywood. They know. Lately data has been getting more than its fifteen minutes of fame. And good or bad, I think it’s awesome. We’re
Data migrations are never the most attractive of projects to sponsor. For those who have sponsored them previously, migrations can be seen as a poison chalice. As for the first-timers, data migration initiatives are often perceived as a fairly insignificant part in a far grander production. The challenge with data
.@philsimon on whether dashboards can help with predictions.