Are you searching unstructured data or text fields? Do you need to aggregate and summarize your geo, financial, or other numeric data? Do you want to query your structured data in new and exciting ways? If so, Elasticsearch may be right for you. Let’s explore the many ways you can ask questions about your data and have it make sense to you and your users. We’ll sort through millions of rows in milliseconds and give you tools to take your data analysis to the next level. You will learn how to use PHP libraries and basic RESTful API calls to store, search, and aggregate your data.


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Mike Lehan at 16:39 on 25 Jan 2019

Informative introduction to Elastic Search, well presented how to use the service in basic ways as well as a few advanced usages. Some av trouble at the start meant it ended up unfortunately rushed but I imagine with the extra 10 minutes it would have been well paced.

It would have been interesting in the put/post section to have more info on common ways people take data from other sources - when would you use batch, live, streaming etc

You did what you promised: you showed many ways you can ask questions about the data. So that's certainly a good thing. But you lost my attention half way. I found the sequence of slides with json-codes a little boring.

I had hoped to hear what the consequences are if you add elastic search to an existing app, when does elastic search add value, when will a relation db be fine.

It was a good talk, but I really missed a demo. Eventually it was indeed like Johan Vervloet said, a sequence of json codes, which gets a bit boring. I would put that part into a quick demo so we can see it in action.

Overall, good talk about ElasticSearch, however, you were a bit 'unstructured' and lost the way - I can only assume it was because of time pressure or something like that. It really showed you were rushing in the end and failed to deliver all the information you wanted to deliver. No big problem though, but it really stopped this talk from being a great talk as opposed to a good one.

This was a good, informative talk. What missed for the full "great/awesome talk" was to get more of a story out of it. The talk started out great, with the sea and sharing the ideas for the talk, it sounded like story telling so I expected the story to continue. The build-up of the talk didn't live up to the talk itself, which is why I think some of the comments here about "lost me half way" could happen easily.

I would like to see more specific examples of use-cases and how YOU use these features, rather than just the features themselves - And that's what I expected when I came to see this talk.

I'd like less information but with more story and results/demo, you answered the how but not the why.

The rocking back and forth that you do got slightly distracting at times. It wasn't any big deal for me, but I thought I'd point that out for your awareness, in case you want to work on that.

The stability of your voice and speed of talking was perfect.

All in all: Thanks for a good talk! :)

This was a good talk with a lot of information and a great insight in what elastic search can offer you in terms of solutions.

What I feel could make this talk better is a story line to keep the attention of the audience. Just 1 story where you can fit in your different queries. (if it doesn't really fit make a silly joke about it)
So a bit like this:
- Ok we have this now...
- But our customer wants to to get X when searching for Q.
- Well elastic search can do this too.
- We just do Y and Z and it returns X.

All in all a solid talk with good information. I feel it will definitely make some people enthusiastic about Elasticsearch.
Thanks for giving the talk.

Ike Devolder at 20:37 on 30 Jan 2019

After the great opening we got some nice information about how to use elasticsearch, especially for use where elasticsearch its strengths are found. As others have stated, the opening story kind of created an expectation you did not really live up to. But anyway the content was nice and clear.