#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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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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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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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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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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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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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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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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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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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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Are you using dbt?
I'm looking to learn more about the scale of dbt projects and the review process for modeling changes.
Can you answer 9 questions about your dbt usage?
(they're all multiple choice - yay!)https://docs.google.com/forms/d/1O3korvArsxViiZbfatSw0RS9ocG5eJ4dh2D49zr5YSM
#dbt #DataEngineer #DataEngineering #AnalyticsEngineering #DataModeling #DataOps
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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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🔎 🗺️ The State of Data Engineering 2023 - a nice round up and review from Einat Orr of #dataengineering in 2023
https://lakefs.io/blog/the-state-of-data-engineering-2023/?utm_campaign=Social%20media%20activity&utm_source=mastodon&utm_medium=social&utm_content=blog_rm-SoDE23_230524
#datadon #analyticsengineering #opensource #data -
Do you have a proper code review process for pushing changes to data projects?
With ELT and dbt, small changes to code can have a big impact on downstream models. The last thing you want is to push a breaking change to prod 😱
Why you need code review for you data projects
by Balu Rama Chandrahttps://medium.com/inthepipeline/why-you-need-code-review-for-you-data-projects-95e039083df0
#DataEngineering #DataQuality #DataOps #CodeReview #dbt #AnalyticsEngineering
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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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Knowing the data warehouse cost for building a dbt project has really been bugging us recently, so a colleague made a proof of concept to see the cost after running dbt.
It records the bytes billed from BigQuery to a file after dbt build finishes, and then calculates the cost based on the current cost of BigQuery ($5 per TB).
I’ve written a blog post about it:
Is this something folk are interested in?
#DataOps #BigQuery #DBT #DataEngineering #AnalyticsEngineering
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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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The essential component of any data toolkit: Duck[DB] Tape!
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Enjoying the back catalogue of The Analytics Engineering #Podcast with @jthandy and @schottj - this episode from August 2021 with Erik Bernhardsson was really interesting.
🎧 https://overcast.fm/+w94WXfYA0
✍🏻 https://roundup.getdbt.com/p/erik-bernhardsson -
For those who might find me by hashtag (get ready for hashtag soup): I do lots of #dbt on #snowflake #data #dataengineering and #analytics #analyticsengineering. I enjoy #python and #pandas and #sql and #dax. I’ve been lucky to work on #azure and #aws, and I prefer #powerbi as my viz Swiss Army knife.
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Worst part of being laid off "effective immediately" by far is the toll wrought by a dim model I hadn't quite cracked the code for yet being left completely unfinished.
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Hey #datadon, what are the main conferences that someone interested in#DataEngineering or #AnalyticsEngineering should be planning to attend next year? I'm assuming #dbt's #CoalesceConf, but what else?
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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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CW: From Twitter
This thread from @criccomini and ensuing discussion is fascinating and well worth the read: https://twitter.com/criccomini/status/1590374049733283840?s=46&t=TpqDxqQaDXlVrJ6lfNlvlg
(Maybe the next one will be over here on data-folks mastodon :))
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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/