castled
analytics
| castled | analytics | |
|---|---|---|
| 12 | 15 | |
| 316 | - | |
| - | - | |
| 9.9 | - | |
| about 2 years ago | - | |
| Java | ||
| GNU General Public License v3.0 or later | - |
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.
castled
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Data pipeline suggestions
Reverse ETL: Grouparoo, Castled
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Where can I find free data engineering ( big data) projects online?
Ingestion / ETL: Airbyte, Singer, Jitsu Transformation: dbt Orchestration: Airflow, Dagster Testing: GreatExpectations Observability: Monosi Reverse ETL: Grouparoo, Castled Visualization: Lightdash, Superset
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Launch HN: Castled Data (YC W22) – Open-Source Reverse ETL
Thanks. We also have a subscription based hosted solution hosted at https://castled.io
- Castled - an open source reverse ETL solution that helps you to periodically sync the data in your db/warehouse into sales, marketing, support or custom apps without any help from engineering teams
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Castled.io is the fastest Reverse ETL platform till date
Castled is 6x to 13x faster than other Reverse ETL platforms like Census and Hightouch! The project is open source.
- Castled is an open source reverse ETL solution that helps you to periodically sync the data in your warehouses and databases to sales, marketing, support or custom apps without any help from engineering teams
- Castled – Reverse ETL
analytics
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I'm not getting it...what's the point of DBT?
Take a look at gitlab's dbt project: https://gitlab.com/gitlab-data/analytics/-/blob/master/transform/snowflake-dbt/models/common/schema.yml
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How would you structure a repo with 10+ ETL pipelines and shared code?
A good reference is the Gitlab data team repo. https://gitlab.com/gitlab-data/analytics
- What are your favourite GitHub repos that shows how data engineering should be done?
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Are there any open corporate Data Team repositories / projects besides GitLab?
For example, their Data Team have a public repository, with a bunch of information on how they organize DAGs, machine learning projects, system configuration, etc.
- Kimball Dim Modelling Code Examples
- Can someone help me, an absolute newbie, understand the usage and benefit of dbt with practical example ?
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Is jinja templating right for DBT?
So I've run through the DBT tutorial stuff and looked over some fairly complex uses of it i.e. GitLab Data and I was wondering if anyone has any opinions or insights into the use of jinja templating in the sql?
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Where can I find free data engineering ( big data) projects online?
Gitlab has their DBT repo open source and is very useful for seeing how to structure a project at scale. https://gitlab.com/gitlab-data/analytics/-/tree/master/transform/snowflake-dbt
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Gitlab's Data Team Platform (in depth look at their stack)
Currently the team is working hard on this: https://gitlab.com/gitlab-data/analytics/-/issues/9508
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Can someone explain the big deal with dbt?
GitLab's dbt project is an excellent example of a mature project at scale. They also have a comprehensive guide to their methodology.
What are some alternatives?
lightdash - Self-serve BI to 10x your data team ⚡️
dbt-synapse - dbt adapter for Azure Synapse Dedicated SQL Pools
X-Road - Source code of the X-Road® data exchange layer software
dagster - An orchestration platform for the development, production, and observation of data assets.
datahelix - The DataHelix generator allows you to quickly create data, based on a JSON profile that defines fields and the relationships between them, for the purpose of testing and validation
datahub - The Metadata Platform for your Data Stack
monosi - Open source data observability platform
AdvancedSQLPuzzles - Welcome to my GitHub repository. I hope you enjoy solving these puzzles as much as I have enjoyed creating them.
dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
projects - Sample projects using Ploomber.
dbt-unit-testing - This dbt package contains macros to support unit testing that can be (re)used across dbt projects.