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Posts tagged #AnalyticsEngineering on Bluesky
Close-up of Sunil Kumar Mudusu in a suit. Text: "Your data platform is evolving faster than your rules can. Sunil Kumar Mudusu explains why deep learning and generative models now define data quality."

Close-up of Sunil Kumar Mudusu in a suit. Text: "Your data platform is evolving faster than your rules can. Sunil Kumar Mudusu explains why deep learning and generative models now define data quality."

From transformers to GANs, AI is rewriting data quality. Sunil Kumar Mudusu details how automated repair and trust scoring redefine reliability.

See what is changing: spr.ly/63322hMNQy
#FoundryExpert #AnalyticsEngineering #DataInnovation

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Calling all Power BI & Microsoft Fabric enthusiasts!
🎥 Watch the full session:
👉 youtu.be/CYAtOMLAfMo?...
📘 Read the article here:
👉 www.linkedin.com/pulse/unders...
#MicrosoftFabric #PowerBI #DataAnalytics #BusinessIntelligence #AnalyticsEngineering #FabricCommunity #PowerBICommunity #DataPlatform

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Atorus Professional Services help life sciences teams design, implement, and maintain compliant, scalable platforms so your analytics, infrastructure, and operations work together instead of in silos. Download the info sheet. tinyurl.com/jc7r6j87 #LifeSciences #ClinicalData #AnalyticsEngineering

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How to build a Data Quality Score with DBT + Elementary Data A practical approach to quantify and visualize data reliability

Great walkthrough on building a robust data quality score using dbt + Elementary Data. Clear, actionable, and perfect for modern data teams. medium.com/@alexandroab... #DataEngineering #AnalyticsEngineering #dbt #DataQuality #Data

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COUNT(67) is the best

#data #analyticsengineering

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🚀 Book a consult to bring Fusion into your stack: https://data-sleek.com/speak-with-data-expert/

#DataSleek #dbtFusion #DataTransformation #AnalyticsEngineering

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Huge thanks to Farida Aliyeva for an inspiring session, “Bridging the Gap: From Raw Data to Real-World Impact.”
Missed it or want to rewatch? Catch the full recording:
🔗 www.youtube.com/live/8zKTO48...
#DataCommunity #PowerBI #MicrosoftFabric #DataAnalytics #DataEngineering #AnalyticsEngineering

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#dbtFusion #AnalyticsEngineering #DataTools

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data diffing alerts

data diffing alerts

Auto-diff every model on every PR?
You’ll get ⚠️ dozens of alerts, irrelevant!

CI without context = alert spam.
Real-world data work needs: what changed, why, and what to do.

Learn how 👉 datarecce.io/blog/more-th...

#dataengineering #datadiff #analyticsengineering #datavalidation

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Data diff tells you something changed. but NOT:

❓ Was it expected?
⛏️ Worth investigating?
🔗 What depends on it?

Let’s stop mistaking output for insight.
See how 👉 datarecce.io/blog/more-th...

#dataengineering #datadiff #analyticsengineering #datavalidation

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setup noise

setup noise

"The value didn't justify the effort."
A Sr. Data Engineer at Swedish MediaTech after their Datafold PoC.

❌ Heavy setup → Noisy results → Alert fatigue → No way to start small
Comparsion: datarecce.io/blog/recce-v...

#DataEngineering #DataValidation #analyticsengineering

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Data Reviews What Changed

Data Reviews What Changed

Don’t start with what changed. Start with what SHOULD change!

Because not every diff is a problem, and not every problem shows up as a diff.

👉 datarecce.io/blog/more-th...

#dataengineering #datadiff #analyticsengineering #datavalidation

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Type 2: Renamed
Same data, new name.

DataRecce.io

Type 2: Renamed Same data, new name. DataRecce.io

Type 2: Renamed

Same data, new name.

SELECT user_id AS id FROM {{ ref("users") }}

✅ id is just an alias of user_id

#analyticsengineering #sql #datamodeling

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Understanding how columns are transformed in a dbt model is critical for impact analysis, QA, and trust in your pipeline.

DataRecce.io

Understanding how columns are transformed in a dbt model is critical for impact analysis, QA, and trust in your pipeline. DataRecce.io

Understanding how columns are transformed in a dbt model is critical for impact analysis, QA, and trust in your pipeline

Here are the 5 column transformation types you should know...

🧵👇
#dbt #dataengineering #analyticsengineering

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Stop duplicating dashboards just to preview dbt changes Share data impact with stakeholders instantly: one click, zero guesswork

Stop duplicating dashboards to preview the impact of dbt model changes!

With Recce, you can:
✅ Diff models
✅ Record data impact
✅ Share results instantly — no dashboards, no SQL, no screenshots

One click. Instant clarity.
medium.com/inthepipelin...

#dbt #DataOps #SQL #data #analyticsengineering

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𝟏/𝟖 🚨 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐯𝐬. 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: 𝐓𝐡𝐞 𝐆𝐫𝐞𝐚𝐭 𝐁𝐥𝐮𝐫 𝐢𝐬 𝐇𝐄𝐑𝐄.
With tools like #dbt redefining workflows, where do these roles start to merge? Let’s unpack it. 🔍
(Hint: SQL is the new battleground.) ⚔️

#DataEngineering #AnalyticsEngineering #ModernDataStack

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GitHub - DataRecce/recce: The data-validation toolkit for enhanced dbt (data build tool) PR review The data-validation toolkit for enhanced dbt (data build tool) PR review - DataRecce/recce

Recce is open-source, so you can review the full code:

github.com/datarecce/re...

We also accept:

- issues
- feature requests
- bug fixes

#DataEngineering #dbt #Recce #DataRecce #CI #SQL #DataQuality #AnalyticsEngineering

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dbt best practices in action at Cal-ITP’s data-infra project Cal-ITP uses a standardized PR template and automated report for comprehensive PR review. See their process in-action with example PRs

Dive deeper 👉 medium.com/inthepipelin...

What’s the biggest challenge you face when implementing and maintaining your dbt project?

#dbt #DataEngineering #DataInfrastructure #analytics #AnalyticsEngineering

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Easiest way to run dbt Core! How to run dbt Core in Production with Orchestra #dbt #analytics
Easiest way to run dbt Core! How to run dbt Core in Production with Orchestra #dbt #analytics YouTube video by Orchestra

Setting up #dbtcore in #apacheairflow? Stop. Another life is possible

www.youtube.com/watch?v=-XDu...

#dataengineering #analyticsengineering

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I moved from data science into analytics engineering ~5 months ago and it's been such a great decision. It's nice to step away from the AI conversation and instead focus my efforts on making data accessible. #analytics #analyticsengineering #data #datascience

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Enhanced dbt PR Review with Reproducible Data Validation Environments You have a reproducible data pipeline, now you can have a reproducible data validation environment

Analytics engineers don't work alone - data validation involves stakeholders and PR reviewers

With Recce, Share your complete data validation environment with your team and review data impact together:

medium.com/inthepipelin...

#data #dbt #dataengineering #analyticsengineering

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First post. Here for #data #sql #powerbi #msfabric #analyticsengineering

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Feature Drop: Autogenerate Model Description and Column Descriptions You can now generate detailed descriptions for your columns and models using DinoAI, streamlining the documentation process significantly

Time for another new DinoaAI update to be dropped 🙌

You can now effortlessly generate detailed descriptions for your columns and models with only one click using DinoAI.

Documentation has never been easier.

www.paradime.io/blog/feature...

#analyticsengineering #dbt #aicopilot

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Together with our users, we are changing the #analyticsengineering game.

Out with the old.
In with the new.

Happy Monday, let's go 🚀

#startup #dbt

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Infomercial Fail GIF Alt: Advanced extension for CSV file management | Rainbow CSV | paradime.io

Are you not sick of it?!

We were.

So we fixed it!

👉 www.youtube.com/watch?v=7GJ9...

#analyticsengineering #CSVmayhem #dataanalytics

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Winning Zach Galifianakis GIF Alt: Check out our cofounder's takeaways on how an AI copilot like DinoAI can 10x your analytics team's output and win in analytics engineering | paradime.io

In the research paper "Impact of AI-tooling on the Engineering Workspace," the team at Jellyfish explores how #AItools are changing engineering.

Check out our cofounder's takeaways on how an #AIcopilot can 10x your #analyticsengineering output. Who has time for boring tasks anyways?

Link below 👇

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Leverage Node-Selection for Data Validation Checks in dbt PR Reviews Automate data checks on resource groups for comprehensive dbt PR review

Node-selection is extremely useful for saving time and resources when building your dbt project.

Now you can use the same logic to scope your automated data checks for validating modeling changes in PR review

medium.com/inthepipelin...

#dbt #DataEngineering #AnalyticsEngineering #data

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This post about Makefile for dbt got some good feedback!

The best thing was the alternative suggestions:

- Task
- Click
- Invoke

What are you using to as a task runner / custom CLI interface fot dbt (or your data tool of choice)?

#DataEngineering #AnalyticsEngineering #Data #SQL #Analytics

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Reviewing PRs with Recce CI is as easy as 1-2-3:

1. Download the Recce CI state file from your PR comment

2. Launch Recce in review mode

3. Review the checklist results comparing your two dbt environments

datarecce.io/docs/guides/...

#dbt #dataengineering #analyticsengineering

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From Zero to dbt: How to Analyze and Build Data Models from Spotify’s Million Playlist Data Part 1: Analyze the 30GB json dataset with DuckDb and jq, then convert to Parquet to prep for dbt

Zero to #dbt with 'Spodbtify'

Learn more about analytics engineering with Spotify's Million Playlist Dataset Part 1:

- download the dataset (30GB of json!)
- duckdb + jq for exploration
- convert to 5.7GB parquet

medium.com/inthepipelin...

#dataengineering #analyticsengineering

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