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#analyticsengineering — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #analyticsengineering, aggregated by home.social.

  1. 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 #DBT #AnalyticsEngineering #Coalesce2024 #Data

    coalesce.getdbt.com/

  2. 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
    linkedin.com/learning/data-eng

  3. 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??

    medium.com/inthepipeline/how-t

    #DataEngineering #AnalyticsEngineering #data #CLI

  4. 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:

    medium.com/inthepipeline/youre

    #DataEngineering #dbt #AnalyticsEngineering #data #BestPractices #DataScience

  5. 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:

    staging.cloud.piperider.io/onl

    Watch it in action on Youtube:

    youtube.com/watch?v=LHuTb3e_4O

    #DataEngineering #DataViz #dbt #DataTools #AnalyticsEngineering #OpenSource #PipeRider

  6. 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:

    staging.cloud.piperider.io/onl

    Watch it in action on Youtube:

    youtube.com/watch?v=LHuTb3e_4O

    #DataEngineering #DataViz #dbt #DataTools #AnalyticsEngineering #OpenSource #PipeRider

  7. 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:

    staging.cloud.piperider.io/onl

    Watch it in action on Youtube:

    youtube.com/watch?v=LHuTb3e_4O

    #DataEngineering #DataViz #dbt #DataTools #AnalyticsEngineering #OpenSource #PipeRider

  8. 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:

    staging.cloud.piperider.io/onl

    Watch it in action on Youtube:

    youtube.com/watch?v=LHuTb3e_4O

    #DataEngineering #DataViz #dbt #DataTools #AnalyticsEngineering #OpenSource #PipeRider

  9. 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:

    staging.cloud.piperider.io/onl

    Watch it in action on Youtube:

    youtube.com/watch?v=LHuTb3e_4O

    #DataEngineering #DataViz #dbt #DataTools #AnalyticsEngineering #OpenSource #PipeRider

  10. 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:

    medium.com/inthepipeline/5-int

    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

  11. 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

  12. 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