dbt-athena
meltano
| dbt-athena | meltano | |
|---|---|---|
| 1 | 10 | |
| 142 | - | |
| - | - | |
| 0.0 | - | |
| over 1 year ago | - | |
| Python | ||
| Apache License 2.0 | - |
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dbt-athena
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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.
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?
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.
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.
dagster - An orchestration platform for the development, production, and observation of data assets.
pipelinewise - Data Pipeline Framework using the singer.io spec
nifi - Apache NiFi
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
getting-started - This repository is a getting started guide to Singer.
spark-rapids - Spark RAPIDS plugin - accelerate Apache Spark with GPUs
supabase - The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.