getting-started
meltano
getting-started | meltano | |
---|---|---|
5 | 9 | |
2,849 | 1,597 | |
0.8% | 2.5% | |
0.0 | 9.8 | |
8 days ago | 1 day ago | |
JavaScript | Python | |
Apache License 2.0 | MIT License |
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.
getting-started
-
NEED HELP for good mark
You should do docker’s getting-started container it’ll help fill gaps.
-
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
-
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'.
-
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
-
meltano VS cloudquery - a user suggested alternative
2 projects | 2 Jun 2023
-
Show HN: Meltano Cloud (Gitlab spinout) – 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!
-
Show HN: Sync’ing data to your customer’s 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)
-
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).
-
What is data integration?
Meltano
-
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!)
-
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
-
What ETL tool you use with Postgres ?
https://meltano.com/ is ELT but I like it
- Airbyte vs Meltano community support
What are some alternatives?
singer-sdk
Prefect - The easiest way to build, run, and monitor data pipelines at scale.
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).
nifi - Apache NiFi
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.
pipelinewise - Data Pipeline Framework using the singer.io spec
meltano
pipelinewise-tap-mssql - Pipelinewise tap for Microsoft SQL Server
Moto - A library that allows you to easily mock out tests based on AWS infrastructure.
spark-rapids - Spark RAPIDS plugin - accelerate Apache Spark with GPUs
dagster - An orchestration platform for the development, production, and observation of data assets.