meltano
Mage
meltano | Mage | |
---|---|---|
9 | 77 | |
1,601 | 7,085 | |
2.5% | 3.5% | |
9.8 | 9.9 | |
1 day ago | 1 day ago | |
Python | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
meltano
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meltano VS cloudquery - a user suggested alternative
2 projects | 2 Jun 2023
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Show HN: Meltano Cloud (Gitlab spinout) â Managed infra for open source ELT
- 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!
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Show HN: Syncâing data to your customerâs Google Sheets
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)
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Meltano can now run any Airbyte source connector thanks to a community contribution
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).
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What is data integration?
Meltano
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PostgreSQL to DuckDB - There and Quack Again
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!)
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What should be the main point of a personal project?
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
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What ETL tool you use with Postgres ?
https://meltano.com/ is ELT but I like it
- Airbyte vs Meltano community support
Mage
- FLaNK AI-April 22, 2024
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A mage on the Heroâs Journey: a fantasy epic on how a startup rose from the ashes
In the coming years, Mage will create a cooperative experience so that developers can build data pipelines with their team and level up together. After that journey, Mage will go on an epic quest to create the 1st open world community experience in the data universe.
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Data sources episode 2: AWS S3 to Postgres Data Sync using Singer
Link to original blog: https://www.mage.ai/blog/data-sources-ep-2-aws-s3-to-postgres-data-sync-using-singer
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What are some open-source ML pipeline managers that are easy to use?
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home
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Mage Battlegrounds: Craft insights from real-time customer behavior analysis
You're invited to participate in the very first Mage Battlegrounds: Craft insights from real-time customer behavior analysis, a 24-hour virtual hackathon hosted by Shashank Mishra! This data engineering competition will take place on Saturday, April 15, 2023 beginning at 11am (PST). This will be a global event open to all participants who register.
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Looking for an open-source project
Try this feature: https://github.com/mage-ai/mage-ai/issues/1166
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Daskqueue: Dask-based distributed task queue
Seeing if we can use it in https://github.com/mage-ai/mage-ai
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Data Pipeline on a Shoestring
That being said thereâs a solid family of services just breaking ground that make the local pipeline deployment easier (check out https://www.mage.ai, which does have a clear path to cloud deployment of locally developed pipes, it just isnât well documented yet, and also https://www.neuronsphere.io - which doesnât have a public solution YET (theyâre internally testing an alpha) but they built a cloud deployable solution for their paying customers and working to release one for freemium use)
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Trending ML repos of the week đ
7ď¸âŁ mage-ai/mage-ai
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Delta without using Spark
Yes, check out how Mage does it: https://github.com/mage-ai/mage-ai/tree/master/mage_integrations/mage_integrations/destinations/delta_lake_s3
What are some alternatives?
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
dagster - An orchestration platform for the development, production, and observation of data assets.
nifi - Apache NiFi
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
pipelinewise - Data Pipeline Framework using the singer.io spec
vscode-dvc - Machine learning experiment tracking and data versioning with DVC extension for VS Code
pipelinewise-tap-mssql - Pipelinewise tap for Microsoft SQL Server
sqlmesh - Efficient data transformation and modeling framework that is backwards compatible with dbt.
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.
mito - The mitosheet package, trymito.io, and other public Mito code.
spark-rapids - Spark RAPIDS plugin - accelerate Apache Spark with GPUs
Data-Science-Roadmap - Data Science Roadmap from A to Z