Since tomorrow is How-long-has-it-been-since-you-used-this-data-ween, it’s time to review your organization’s preparedness for preventing the zombie data-pocalypse. (Please Note: This should not be confused with your organization’s preparedness for preventing the zombie apocalypse, for which check out the resources provided by the Centers for Disease Control and Prevention by ever-so-carefully clicking on
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One of the hottest job descriptions in the data management field in the last couple of years is the position of “data scientist.” The rise of this job description matches the rise of the concept of big data – data sources that are very large in volume, change frequently, and
Earlier, I wrote about the Hadoop-centric view of big data that was evident in some recent research conducted by TDWI. If you haven't read the report yet, make sure you download "Managing Big Data," which gives a fantastic overview of "big data management" and how it's impacting organizations. Like any good piece
As this blog is largely about data, you can rest assured this post will not be about the recent federal budget standoff in the US. Instead, I wanted to outline a growing issue that relates to the false promises that many data governance initiatives deliver. One of the big challenges that
Every week, it seems, I overhear someone at my gym talking about another fad diet. Cabbage-this or berry-that is supposed to magically make the pounds disappear. Perhaps there are legitimate success stories with these diets. Still, it doesn't take a nutritionist or personal trainer to realize that, for the most part, losing
I consume so much coffee on a daily basis that I consider it to be one of my food groups. This might not be as unhealthy as it sounds since coffee beans are actually the seeds of coffee cherries, which means coffee is essentially fruit juice – and drinking a
Recently, TDWI released "Managing Big Data," a report that explored trends in big data management (BDM). The author, Philip Russom, is an expert in the fields of data warehousing and data management, and for this report he surveyed more than 400 practitioners about their big data efforts. One thing immediately evident is
The conventional approach to data organization within a business is largely correlated to the original operational intent. Whether the data is collected or created as a result of executing a business transaction or as a result of managing operational activities, in most cases the information is effectively a byproduct of
The third part of my data governance primer series addresses data quality analysis. Don’t even start a data quality analysis until you have completed the first two steps of your root cause analysis: investigate and prioritize any potential causative factors, then start your metadata assessment. Otherwise, you may be misled
In my last post I discussed one of the important traits that I feel truly great data stewards possess – the ability to effect change. Today I want to talk about how you actually identify, train and nurture everyday workers into the role of data stewards. Most organisations don’t have