FeaturedHP Vertica and IDOL: Just Three Short Plus Years in the Making
I read an article from the outfit that relies on folks like Dave Schubmehl for expertise. The write up is “HP Links Vertica and IDOL Seeking Better Unstructured Data Analysis.” But I quite like the subtitle because it provides a timeline; to wit:
The company built a connector server for the products, which it acquired separately in 2011.
Let’s see that is just about three years plus a few months. The story reminded me of Rip Van Winkle who woke to a different world when he emerged from his slumber. The Sleepy Hollow could be a large technology company in the act of performing mitosis in order to generate [a] excitement, [b] money, and [c] the appearance of progress. I wonder if the digital Sleepy Hollow is located near Hanover Street? I will have to investigate that parallel.
What’s a few years of intellectual effort in a research “cave” when you are integrating software that is expected to generate billions of dollars in sales. Existing Vertica and Autonomy licensees are probably dancing in the streets.
The write up states:
Promising more thorough and timelier data analysis, Hewlett-Packard has released a software package that combines the company’s Vertica database with its IDOL data analysis platform. The HP Haven Connector Framework Server may allow organizations to study data sets that were too large or unwieldy to analyze before. The package provides “a mixture of statistical and contextual understanding,” of data, said Jeff Veis, HP vice president of marketing for big data. “You can pull in any form of data, and then do real-time high performance analysis.”
Hmm. “Promising” and “may allow” are interesting words and phrases. It seems as if the employer of Mr. Schubmehl is hedging on the HP assertions. I wonder, “Why?”
InterviewsInterview with Dave Hawking Offers Insight into Bing, FunnelBack and Enterprise Search
The article titled To Bing and Beyond on IDM provides an interview with Dave Hawking, an award-winner in the field of information retrieval and currently a Partner Architect for Bing. In the somewhat lengthy interview, Hawking answers questions on his own history, his work at Bing, natural language search, Watson, and Enterprise Search, among other things. At one point he describes how he arrived in the field of information retrieval after studying computer science at the Australian National University, where he the first search engine he encountered was the library’s card catalogue. He says,
“I worked in a number of computer infrastructure support roles at ANU and by 1991 I was in charge of a couple of supercomputers…In order to do a good job of managing a large-scale parallel machine I thought I needed to write a parallel program so I built a kind of parallel grep… I wrote some papers about parallelising text retrieval on supercomputers but I pretty soon decided that text retrieval was more interesting.”
When asked about the challenges of Enterprise Search, Hawking went into detail about the complications that arise due to the “diversity of repositories” as well as issues with access controls. Hawking’s work in search technology can’t be overstated, from his contributions to the Text Retrieval Conferences, CSIRO, FunnelBack in addition to his academic achievements.
Chelsea Kerwin, December 09, 2014
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