getting-started VS meltano

You should do docker’s getting-started container it’ll help fill gaps.

I have docker installed but im having issues with it im too dumb to follow this tutorial https://youtu.be/B134jvhO8yk i have no idea what hes it doing at around the 3 minute mark where he is creating a "clone" im getting this message at the Tutorial part in docker I went and removed the container and tried it again but im getting the same issue. I PS C:\Users\user> docker run --name repo alpine/git clone https://github.com/docker/getting-started.git

C:\Windows\system32>docker run --name repo alpine/git clone \ https://github.com/docker/getting-started.git Unable to find image 'alpine/git:latest' locally latest: Pulling from alpine/git 97518928ae5f: Pull complete b8d269ae55e3: Pull complete b863f4504196: Pull complete b90e122235c6: Pull complete Digest: sha256:d4740deff7f05d2d48771ff66d9d9c26dfb76f0db0aa833b1ea0ee346fa1e48f Status: Downloaded newer image for alpine/git:latest docker: Error response from daemon: failed to start service utility VM (createreadwrite): hcsshim::CreateComputeSystem 94a61d6c784cb6e83c57feb0292ca424a482ef80c97ee7ec76e1d1b403b3f23b_svm: The virtual machine could not be started because a required feature is not installed. See 'docker run --help'.

docker run --name repo alpine/git clone \ https://github.com/docker/getting-started.git docker cp repo:/git/getting-started/ .

- https://github.com/meltano/meltano

We'd love to hear what you think of Meltano (Cloud). If you join the Beta, you get 100 free credits (200 hourly or 100 daily runs) and a 20% discount on the pricing at GA (June 27). The first 100 to sign up get 1,000 credits -- that's 83 days of hourly runs or 3 years of dailies!

The team and I will be checking in here throughout the day, so don't hesitate to ask questions! If we don't get to you, feel free to join 3,500+ Meltano fans on https://meltano.com/slack and we'll chat there!

Meltano[0] might be of interest to you. Easy way to move data that should be very familiar for software engineers. If a connector doesn't exist our SDK makes it easy to build it.

[0] https://github.com/meltano/meltano

(disclaimer - I work at Meltano)

We currently don't do any process optimization on a per-stream basis when doing an extract. We have seen folks in the community running each tap separately for each stream which can speed it up. We've got an issue around this (Melturbo).

Meltano

I built my data pipeline to Extract some data from websites and CSV files, Load it into my database, and Transform it into a reporting-ready schema. I used Python and Pandas to extract and load some of the data and Meltano to load some additional supporting data. All of that data went into a PostgreSQL database hosted in the cloud on Azure where I then used dbt to create data models in the database optimized for reporting. Finally, I use Metabase to visualize the data. (whew! that's a lot of moving parts!)

I'm learning https://meltano.com/ right now, so am building custom Taps, mostly for fun. I'm enjoying it. I'm pulling in a variety of data from https://www.geonames.org/ and Canadian weather/climate data into BigQuery

https://meltano.com/ is ELT but I like it