#analyticsengineering — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #analyticsengineering, aggregated by home.social.
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Coalesce 2024 keynote announcements included among others:
* support for Apache Iceberg
* a DBT Copilot
* integrations with Power BI
* improved data quality and data freshness tools
* More visual editing support
* in general the vibe of making it easier to reference data across teams -
Just been doing a LinkedIn Learning course on dbt - a tool used in Analytics Engineering. Delighted that they were using DuckDB as the backend.
This kind of use is so huge for learners. Instead of faffing around to get credentials/access to a remote DB server just run locally for free and quickly get on with the learning of the app.#DuckDB #DBT #AnalyticsEngineering #DB
https://www.linkedin.com/learning/data-engineering-with-dbt?trk=share_android_course_learning&shareId=%2Fejw28EGQSWFfcwj6qTIUg%3D%3D -
Do you use a makefile with your dbt project?
I’m sure loads are already doing this, but I couldn’t find a lot of info online so wrote this short guide. (Boilerplate included)
Coming from a web dev background using npm/yarn, this clicked with me really quickly.
I’d love to know if others are doing this and if you have any makefile pro-tips to share??
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How do you handle creating testing envs for your dbt PRs?
I wrote up a workflow for a more complex setup that would be suitable for projects with frequent ingestions and open PRs, by creating a static/immutable PR-specific environment to use as a base to compare dev to.
I'd love any feedback, or please share how you're doing it on your more complex projects:
https://medium.com/inthepipeline/youre-running-dbt-in-ci-now-what-f24c6717b9de
#DataEngineering #dbt #AnalyticsEngineering #data #BestPractices #DataScience
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I hosted the PipeRider Community Office Hours yesterday and one cool feature we demoed was this online dbt manifest viewer.
Generate a Lineage Diff from just your dbt project's manifest files.
Try it out for yourself here:
https://staging.cloud.piperider.io/online-viewer#/?utm_source=mstdn
Watch it in action on Youtube:
https://www.youtube.com/watch?v=LHuTb3e_4O8
#DataEngineering #DataViz #dbt #DataTools #AnalyticsEngineering #OpenSource #PipeRider
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I hosted the PipeRider Community Office Hours yesterday and one cool feature we demoed was this online dbt manifest viewer.
Generate a Lineage Diff from just your dbt project's manifest files.
Try it out for yourself here:
https://staging.cloud.piperider.io/online-viewer#/?utm_source=mstdn
Watch it in action on Youtube:
https://www.youtube.com/watch?v=LHuTb3e_4O8
#DataEngineering #DataViz #dbt #DataTools #AnalyticsEngineering #OpenSource #PipeRider
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I hosted the PipeRider Community Office Hours yesterday and one cool feature we demoed was this online dbt manifest viewer.
Generate a Lineage Diff from just your dbt project's manifest files.
Try it out for yourself here:
https://staging.cloud.piperider.io/online-viewer#/?utm_source=mstdn
Watch it in action on Youtube:
https://www.youtube.com/watch?v=LHuTb3e_4O8
#DataEngineering #DataViz #dbt #DataTools #AnalyticsEngineering #OpenSource #PipeRider
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I hosted the PipeRider Community Office Hours yesterday and one cool feature we demoed was this online dbt manifest viewer.
Generate a Lineage Diff from just your dbt project's manifest files.
Try it out for yourself here:
https://staging.cloud.piperider.io/online-viewer#/?utm_source=mstdn
Watch it in action on Youtube:
https://www.youtube.com/watch?v=LHuTb3e_4O8
#DataEngineering #DataViz #dbt #DataTools #AnalyticsEngineering #OpenSource #PipeRider
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I hosted the PipeRider Community Office Hours yesterday and one cool feature we demoed was this online dbt manifest viewer.
Generate a Lineage Diff from just your dbt project's manifest files.
Try it out for yourself here:
https://staging.cloud.piperider.io/online-viewer#/?utm_source=mstdn
Watch it in action on Youtube:
https://www.youtube.com/watch?v=LHuTb3e_4O8
#DataEngineering #DataViz #dbt #DataTools #AnalyticsEngineering #OpenSource #PipeRider
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Looking for interesting datasets to practice with?
(and full end-to-end data pipelines to investigate)Here are 5 (and a few extras) from the recent DataTalksClub Data Engineering Zoomcamp:
Datasets Include:
- Daily data on Berlin bike thefts
- Air quality
- SF Eviction data
- Minneapolis 311
- NYC Restaurant Inspection#DataEngineering #DataOps #Datasets #DataProjects #AnalyticsEngineering #DataPipelines #dbt #elt #DataViz
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dbt users - Do you consider data warehouse costs when building and maintaining projects?
If so, what steps you taking to keep costs down, or keep an eye on costs?
#dbt #DataQuality #DataBuildTool #DataEngineering #AnalyticsEngineering #DataOps
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CW: dbt model materialization patterns
Do you materialize as table by default? View? How much do you use ephemeral materialization? When is a view better than a table?
My team has pretty small data and we use tables for everything except event streams (incremental) and some intermediate (ephemeral) models.
I'm really curious what other teams' materialization patterns are like.
#datadon #dbt #DataModeling #AnalyticsEngineering #DataWarehousing
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A new blog, in which I explore #dbt, #FiveTran, #Airbyte, and try to generally make sense of the ELT landscape: https://rmoff.net/2022/11/08/data-engineering-in-2022-elt-tools/