Lmst

Big move: Fivetran + Census unite for seamless data flow. No more custom code headaches. Just pure data harmony.

#DataOps #ETL #DevTools https://www.fivetran.com/blog/why-fivetran-and-census-are-joining-forces

❓Need clear “done” definitions when balancing code & data?

Align engineering & analytics acceptance criteria to avoid moving goalposts.

📋 Read how: https://newsletter.optimistengineer.com/p/your-engineering-team-just-met-data?r=nw9bj&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false

#SoftwareEngineering #DataOps

We believe data should be clean, actionable — and sometimes a little fun.

🥚This table has a hidden message woven into the product titles. Can you find it?

#PromptCloud #EcommerceInsights #DataOps #WebDataExtraction #EasterChallenge

Always wanted to learn the Fundamentals of #DataOps?
🔴 Watch this workshop: https://youtu.be/hZ8NpMgPKcM

💶 𝗧𝗵𝗲 𝗵𝗶𝗱𝗱𝗲𝗻 𝗰𝗼𝘀𝘁 𝗼𝗳 𝗰𝘂𝘁𝘁𝗶𝗻𝗴 𝗰𝗼𝗿𝗻𝗲𝗿𝘀? 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗱𝗲𝗯𝘁, not just another corporate buzzword but the silent killer of efficiency, innovation, and organizational success.

👉 Understand what technical debt means in a datamanagement context.
https://www.datalumen.eu/technicaldebt_datamanagement/

#DataGovernance #DataManagement hashtag#DataArchitecture #DataOps #DataOpsFramework #DevOps #DataStrategy #DataAgenda

THE HIDDEN COST OF CUTTING CORNERS: UNDERSTANDING TECHNICAL DEBT IN DATA MANAGEMENT

✨ Latest #ContinuousSpotlight is on
Lisa N. Cao. You might know her as a CDF Ambassador or the person who launched our #DataOps Initiative, but she's so much more. Get to know her: https://cd.foundation/blog/2025/03/24/continuous-spotlight-meet-lisa-n-cao/

📣 Join our next #ContinuousDelivery Workshop on March 27
✨ The Fundamentals of #DataOps with speaker Lisa N. Cao
🎫 It's virtual and free: https://cd.foundation/blog/2025/03/13/workshop-dataops/

📣 Help us develop an inclusive set of #DataOps and #DevOps best practices to allow others leverage open source tools and frameworks for streamlined, secure, and scalable ML application deployment. https://cd.foundation/blog/2025/01/23/announcing-dataops-initiative/

Started the '01-docker-terraform' module in the #Zoomcamp organized by @DataTalksClub! Excited to tackle the first task: learning Docker and how it simplifies containerization for apps and databases! 🐳 #Docker #Terraform #DataOps #Zoomcamp

Learn SAS Data Engineering Basics in Weeks | CoListy
Explore SAS Data Engineering with daily lessons in data access, transformation, and governance. Build skills and start your journey today! | CoListy
#freeonlinelearning #colisty #courselist #sasdataengineering #dataaccess #datatransformation #datagovernance #dataquality #dataops #processorchestration #sasviya #sas/access #dataengineerskills #learnsasonline

https://colisty.netlify.app/courses/sas-viya-data-engineering_-getting-started/

And then the kids got damned STUPID with #dataops again.

#trollpatrol #nightmarefuel

Do you know of any #rstats teams who could use some help in 2025?

I'm a freelance consultant with 10yrs of experience in #DataSci, #DataEng, #DataOps, and providing #SysAdmin for related tools. I primarily work with R, but I have enough SQL and Python knowledge to get by. I know my way around a linux terminal and docker-compose file. I'm also handy as an interpreter between IT and analytics teams. Open to many types of engagements (project-based, temp staff, etc).

If you have a need or a lead, I'd love to chat!

boosts welcome :-)

How do you ensure data correctness for the health records of 7 million people?

Data Recce, of course!

Check out our case study of how the Rio de Janeiro Department of Health uses Recce in their dbt PR reviews:

https://datarecce.io/case-studies/rio-department-of-health/

#dataops #dbt #dataengineering #sql #data

A5: LOL, not sure we have empirically tested ‘known good patterns’ for #AI yet, let alone ‘best practices’! I’d say #DataOps & #MLOps for #data mgmt & algo auditability, validations to ensure provability & drive #trust are good starting places, but we need more ‘real world’ research.

#eWeekChat

A3. (cont) Also note #security issues are not just about #AI in #cybersecurity but also about cybersecurity for AI. Managing #penetration and #data leakage (cf. #DataOps), ensuring #audit and control for AI #algorithms (cf. #MLOps), filtering for malicious outputs, etc. 2-way street

#eWeekChat

Recce's updated interface lets you stay on track while assessing and exploring data impact in your dbt project

Understand and track data change when:

- making dbt data model changes
- performing dbt PR review

https://www.loom.com/share/66959ea08b164e9190703d67877153dd?sid=e288bb2b-3301-44b9-9c36-2a475e166056

#dbt #dataops #dataengineering #dataexploration #analytics

Data cleaning is a crucial first step in any data analysis or machine learning pipeline. My 5 cents on loading and cleaning with R (focus on the dplyr and other tidy libraries)
https://ericeikrem.com/getting-and-cleaning-data-r/
#R #ðplyr #datascience #dataops