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How confused are you about big data?

Customers often ask me whether Dataguise is an analytical shop. I answer by describing what big data is: even though it’s as powerful as a storm, it’s a deluge that must be controlled in a positive way to provide business with unprecedented insights and value. A month ago, I had the honor to attend the […]

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Blurred Lines

Words Matter in Data Protection Forgive your enemies, but never forgive their names. John F. Kennedy The names and words we use for data protection – encryption, masking, tokenizing all seem to be getting blurred together. And with these lines blurring, the complex assignment of securing data in a Big Data context just got all […]

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Envisioning information

Any marketer worth their salt knows that there is power in effectively presenting and displaying information. And many probably have a (now dusting) copy of the seminal information display bible, Tufte’s Visual Display of Quantitative Information, and his easier to read followup, Envisioning Information. I’ve been a huge fan of Tufte, but his books are […]

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Discovering dirty data

No, this isn’t a post about a discovery assignment for the adult industry 😉 As a data-centric security provider focused on Hadoop and Big Data security, we see a lot of different types of data—classic data warehouse and archive data, online transaction and online analytic data (OLTP and OLAP), relational data in databases, CSV and […]

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On Deleting and Expiring Secrets

(Figure 1: Not my diary. But someone’s secrets nonetheless!) Did you ever keep a journal/diary as a kid? Did you ever intentionally destroy that journal to protect those secrets from getting into the hands of prying eyes (siblings in my case, or parents potentially)? I’ve been thinking a lot about secrets recently. With the breach […]

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Hadoop Enterprise Uptake — What The German Tank Problem Might Reveal

Enterprise Adoption of Hadoop The buzz in Hadoop these days is around enterprise adoption. Gartner sparked* this discussion with a report last month stating that for some enterprises, …”investment remains tentative in the face of sizable challenges around business value and skills.” (See report publication here). Are we looking at a half-full glass of Hadoop, or are […]

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Sensitive Big Data – Known knowns and Unknown unknowns…

During a press conference thirteen years ago, Defense Secretary Donald Rumsfeld famously answered a question about how military decision-making was impacted by the lack of evidence for linking Iraq with nuclear weapons: There are known knowns; there are things we know we know … there are known unknowns; … we know there are some things […]

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Big Data Predictions (Scorecard from last year)

Ugh, it’s coming up on ½ through the year already. 2015! Remember when you were a kid and you thought that by 2015 we’d all be riding on hovercrafts, with sting-ray guns and meal pellets (meals that popped out of a drop of water?) Well, with the exception of driver-less cars, those sci-fi predictions are […]

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Securing Enterprise Data Lakes

Real Lakes and Data lakes: In California, there seems to be an awful lot of lakes, even tiny ones, and no ponds. From my New Hampshire childhood, I remember small lakes as “ponds.” Which lead me to go look up the actual difference between the two… According to limnology (the study of water bodies), the […]

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Death-By-Acquisition

Dying Giant Illustration (Courtesy of Steve Cox) In the last three months, three of our top five competitors have been acquired. Competitive acquisitions can be an earth-shattering event in the life of a startup. Perhaps not unlike Draft day speculation and mock-draft predictions in professional sports, the who’s gonna buy whom predictions, strategizing, and gameplay […]

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