getting-started
meltano
getting-started | meltano | |
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5 | 10 | |
2,849 | - | |
0.8% | - | |
0.0 | - | |
8 days ago | - | |
JavaScript | ||
Apache License 2.0 | - |
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getting-started
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NEED HELP for good mark
You should do docker’s getting-started container it’ll help fill gaps.
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Can I hire someone to help me install docker and Esrgan?
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
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Docker failed to start service utility VM
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'.
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Problem with Windows desktop client tutorial
docker run --name repo alpine/git clone \ https://github.com/docker/getting-started.git docker cp repo:/git/getting-started/ .
- from cmdline opts (docker) to YAML
meltano
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Personal Project Guidance
I would use something like meltano or airbyte, but if you really want to use Lambda for extraction I'd say there is no point spinning up a Redshift cluster just for that, Athena would be the way to go and you can use dbt pretty nicely with it and it would keep costs down.
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Open source contributions for a Data Engineer?
Airbyte and Singer/Meltano if you want to learn more about ingestion pipelines. Airbyte and Meltano teams are very welcoming. SQLfluff a shiny SQL linter. Beautiful project with awesome maintainers.
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Looking for open source projects that use data pipelines and big data flows
I know really sure if this is what are you looking for, but take a look at Meltano
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Meltano ELT: Open-Source DataOps for the DevOps Era
I'm not aware of any. I did just open this issue[0] in the Meltano project to open discussion with the team/community. It could be an interesting iteration on the Singer Spec[1] if we find that users are interested in it and it helps solve some bottleneck challenges.
[0] https://gitlab.com/meltano/meltano/-/issues/2616
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Meltano: ELT for the DevOps era — Open source, self-hosted, CLI-first, debuggable, and extensible
Good point! As expected, there's an issue about adding it already: https://gitlab.com/meltano/meltano/-/issues/1175
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Launch HN: Airbyte (YC W20) – Open-Source ELT (Fivetran/Stitch Alternative)
At GitLab, we're not ready to give up on the Singer spec, community, and ecosystem yet, which is why I've been working on Meltano for the past year: https://meltano.com/
We think that the biggest things holding back Singer are the lack of documentation and tooling around taking existing taps and targets to production, and around building, debugging, maintaining, and testing new or existing high-quality taps and targets.
Meltano itself addresses the first problem, and provides a robust and reliable platform for building, running & orchestrating Singer- and dbt-based ELT pipelines.
At the same time, we have been working with some members of the community on a new framework for building taps and targets: https://gitlab.com/meltano/meltano/-/issues/2401, which we have decided to call the Singer SDK: https://gitlab.com/meltano/singer-sdk
What are some alternatives?
singer-sdk
airbyte - The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
AWS Data Wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
dagster - An orchestration platform for the development, production, and observation of data assets.
pipelinewise - Data Pipeline Framework using the singer.io spec
Moto - A library that allows you to easily mock out tests based on AWS infrastructure.
nifi - Apache NiFi
meltano - Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
pipelinewise-tap-mssql - Pipelinewise tap for Microsoft SQL Server
grouparoo - 🦘 The Grouparoo Monorepo - open source customer data sync framework