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nifi
- FLaNK Stack Weekly 19 Feb 2024
- Ask HN: What are some unpopular technologies you wish people knew more about?
- FLaNK Stack Weekly for 13 November 2023
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Ask HN: What low code platforms are worth using?
Apache NIFI (https://nifi.apache.org/).
It uses the concept of Flow-based programming. Also its so underacknolged but this tool is very flexible. I have used as an Event Bus all the 3rd-Party Integrations.
- Apache Nifi: easy to use, powerful, reliable system to process, distribute data
- Tool decision - What architecture would you choose and why?
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Help with choosing techstack for a new DE team
Presently setting up Apache Nifi + Apache MiNiFi for the ETL portion of my work. NiFi was easy enough to figure out; but the docs for MiNiFi have been a pain due to differences between the Java and C++ versions. I then entirely configured it with the Java version so that it was easier to search for answers for the MiNiFi yaml syntax.
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MS SQL Change Data Capture
Found it
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Is there something like airflow but written in Scala/Java?
Apache Camel Apache Nifi Spring Cloud
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Json splitting and Rerouting (new to nifi)
NIFI, like most Apache projects does most of its discussion on its mailing lists, but also has a slack.
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?
Logstash - Logstash - transport and process your logs, events, or other data
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.
superset - Apache Superset is a Data Visualization and Data Exploration Platform
dagster - An orchestration platform for the development, production, and observation of data assets.
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.
pipelinewise - Data Pipeline Framework using the singer.io spec
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
pipelinewise-tap-mssql - Pipelinewise tap for Microsoft SQL Server
Apache Cassandra - Mirror of Apache Cassandra
grouparoo - 🦘 The Grouparoo Monorepo - open source customer data sync framework