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Re:GitLab is working on a tool just for data teams by joshlambert on Wednesday August 01, 2018 @08:10PM (#17668222)
slap_shot one of our major goals is to provide a solution that startups and small companies can utilize to start putting their data to work.

It shouldn't take weeks of effort, a data engineer, multiple proprietary solutions, and tens of thousands of dollars to answer key questions like CAC or the efficiency of a given marketing campaign.

We're hoping to lower the barrier to entry in both cost and effort, by providing an open source pre-packaged solution.

Re:GitLab is working on a tool just for data teams by slap_shot on Wednesday August 01, 2018 @08:19PM (#17668264)
[Obligatory: Someone is downvoting you, but it isn't me. I upvoted you]

Yeah, I get that. The analytics space is very complex and companies, even ones with good engineering teams, don't have the internal knowledge or resources to typically put all this together.

In addition to working in this space, my copmany helps companies set up their analytics stack.

We typically set them up with one cloud-based data integration tool (the one with the most # of integrations they need at the best price), dbt, and one BI tool (usually Looker or Periscope, in that order). All in, that takes us a few weeks to get them set up and going.

I applaud your effort. I just struggle to understand why you accept punting on transformations (and using dbt (amazing library, by the way - great choice)), but then try to tackle something like integrations or BI tools. The complexity of both of those is massive and there are great open source efforts already out there.

I'm eager to see where this goes.

Re:GitLab is working on a tool just for data teams by sytse on Wednesday August 01, 2018 @08:32PM (#17668328)
"but then try to tackle something like integrations or BI tools. The complexity of both of those is massive and there are great open source efforts already out there."

I would love to hear your suggestion for a great open source BI tool. We tried Superset and Metabase but both didn't came close to what we could do with Looker. That is why we're giving Meltano Analyze a shot.

BTW Do you want to do a livestreamed video call to discuss further in the 30 next minutes? You have a lot of knowledge. If so please email me and comment here.

Update: He did email and livestream will happen on https://www.youtube.com/watch?v=F8tEDq3K_pE

Re:GitLab is working on a tool just for data teams by slap_shot on Wednesday August 01, 2018 @08:38PM (#17668361)
Sure - just shot you an email at [email protected]
Re:GitLab is working on a tool just for data teams by jakecodes on Wednesday August 01, 2018 @09:48PM (#17668676)
What a great interview. @slap_shot, you had great questions and you are so well spoken. Really appreciate the feedback. We're all taking notes here. Hope you will keep an eye on our issue tracker for Meltano and give us your feedback as things come up.
Re:GitLab is working on a tool just for data teams by mendelk on Wednesday August 01, 2018 @10:37PM (#17668891)
I have no horse in this race, but this is so cool that one minute you're exchanging comments on HN and the next you're livestreaming a conversation on the topic! What a world :)
Re:GitLab is working on a tool just for data teams by sytse on Wednesday August 01, 2018 @10:58PM (#17668948)
Glad you like it!
Re:GitLab is working on a tool just for data teams by slap_shot on Wednesday August 01, 2018 @11:31PM (#17669070)
My pleasure! Will watch the repo closely and contribute if I can. Very curious to see where this goes.

Also, I had a coffee at 5PM with someone, which is way too late to be drinking coffee, and it is evident in how quickly I'm talking >.<

Re:GitLab is working on a tool just for data teams by sytse on Thursday August 02, 2018 @12:39AM (#17669263)
I liked the fast pace! But normally I do watch YouTube on 150% :) thanks for the chat
Re:GitLab is working on a tool just for data teams by drewbanin on Wednesday August 01, 2018 @10:42PM (#17668911)
One of the maintainers of dbt here -- this was an amazing conversation and I'm so happy I caught it. Thanks both for sharing :)
Re:GitLab is working on a tool just for data teams by sytse on Wednesday August 01, 2018 @10:59PM (#17668954)
The Meltano team loves dbt. Thanks for making and maintaining it. Maybe the best open source project in the data space.
Re:GitLab is working on a tool just for data teams by mycelium on Thursday August 02, 2018 @01:13AM (#17669354)
Thanks to both of you for your time doing that discussion!

@slap_shot and anyone else — I'm curious if you have thoughts on, or even have heard of the Ballerina language? It's a programming language for doing data integration work, built by the ESB/integration consultancy WSO2. It seems to have a lot of eng resources sunk into it but surprisingly little fanfare.

The CEO's interview with the Software Engineering Daily podcast was great: https://softwareengineeringdaily.com/2018/07/12/ballerina-la...

The language site tends toward buzzword-salad, but clearly has had a lot of love and thought put into it: https://ballerina.io/philosophy/

Re:GitLab is working on a tool just for data teams by veritas3241 on Thursday August 02, 2018 @08:10AM (#17670823)
This look very interesting! I haven't heard of it before, but you've definitely piqued my interest. Thank you for the links.
Re:GitLab is working on a tool just for data teams by MarHoff on Thursday August 02, 2018 @05:45AM (#17670286)
Non english speaker here you mentioned an OSS solution called "Inbulk" or something like that during the conversation. Could you spell it I'm pretty interested in finding out more about that project but google return a lot of unrelated result because of the name I guess...
Re:GitLab is working on a tool just for data teams by slap_shot on Thursday August 02, 2018 @09:04AM (#17671081)
Re:GitLab is working on a tool just for data teams by kakoni on Thursday August 02, 2018 @03:24PM (#17674664)
For batch-type of workloads embulk has been really excellent tool for my company (for all extract and load steps. We do most of the transformations in db/warehouse)