Heya,
The analytics part is stressed out mainly because, from my experience, when people think of elasticsearch, they mainly think of unstructured search (still). This is changing, but we want to push it out there. A company built a whole "google analytics" like product on top of elasticsearch that has no unstructured search. Its quite powerful when it comes to it, shame people won't be aware of it.
Regarding NLP, or more broadly, machine learning, its definitely something that we are interested at. We really have nothing concrete there, just thoughts up in the air, and possibly some sketches here and there. Obviously its a very broad subject, we will see how we progress there. We will update obviously once things are more concrete.
The nice bit about ES is that it can cover quite a bit to many people. We should do a better job at explaining all the things that can be done with it. Its definitely something that we are on...
On Feb 21, 2013, at 10:13 PM, Ivan Brusic ivan@brusic.com wrote:
Interesting comments indeed.
My big takeaway was "But, Lucene is raw code. Shay took Lucene, and, developed server software around that made scalable and robust. He made it well-suited for the cloud."
At this point, Elasticsearch seems to be a cloud-ready scalable version of Lucene. Although there are many users doing interesting things, there is no reference implementation No Pet Store application. Given a set of tools, what kind of house can you build? There is more than just search, but the article focuses a bit too much on analytics.
For those interested in NLP, there was an interesting blog post today. http://lingpipe-blog.com/2013/02/21/want-write-oreilly-book-nlp-java/
Did not know that book was publicly available.
Cheers,
Ivan
On Thu, Feb 21, 2013 at 10:48 AM, Jörg Prante joergprante@gmail.com wrote:
Mike Volpi at http://www.indexventures.com/blog#post/603
"[...] Analytics are a tricky business because ultimately, the products end in two scenarios: (a) a skilled user to get the desired result from them; or (b) high degrees of structure that don’t answer the really big questions. We began to look elsewhere – what if you just wanted to “talk” to your data – sort of like how we have become accustomed to finding what we want as consumers from Google. [...]"
and
"[...] But, perhaps even more so is the vision of Elasticsearch. Through its peaks and valleys, Big Data is here to stay. Business and consumer experiences will never be the same because we will have vast amounts of information to make these experiences better. But, that vision will only come to be when we can talk to our data the way we talk to our own minds. Elasticsearch is a huge leap ahead in that direction."
Google-like phrases in hope to find some analytic insight? Talk to data, like talk to own mind? Well, to be frankly, that's what natural language processing (NLP) technologies has been designed for.
Jörg
Am 21.02.13 19:22, schrieb Ivan Brusic:
Any interesting comments? I haven't seen any.
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