UPDATE: Hey everyone, there was a problem with the Restream-to-LinkedIn connector, and as we were attempting to restart the stream, the event on LinkedIn disappeared. We're not sure what caused this issue, but we are re-scheduling this event. Please stay tuned for the new date and time!

Today on #TheDrillDown, Ahmad and I are honored to be joined by a very special guest, @Jkerski! We'll be drilling down into the topic of integrating #DataOps tools and principles into your #MicrosoftFabric and #PowerBI workflows. Join us at 2PM Central time! https://lnkd.in/gbegXeAc

DevOps в 2025 году: отдельные дисциплины, машинное обучение и прогноз на будущее

Привет! Меня зовут Константин Полуэктов, я solution architect в Yandex Cloud и технический эксперт в онлайн-магистратуре от Яндекса и ИТМО

https://habr.com/ru/companies/yandex_praktikum/articles/915730/

NEW on We Open Source

Daniel Paes introduces Runink: a Go-native, open source platform that makes data pipelines fast, secure, and Kubernetes-free. Built with Linux primitives and Raft for strong governance.

https://allthingsopen.org/articles/runink-rethinking-data-pipelines-go-raft-linux-primitives

Handling data in Kubernetes - the cloud native way with Jonathan Gonzalez V.
From zero to a production-ready PostgreSQL cluster using CloudNativePG. Real DevOps for your data layer in action.
#DevOpsDaysAMS #Kubernetes #PostgreSQL #CloudNative #DevOps #DataOps

OpenSearch 3.0 introduces powerful new PPL commands: lookup, join & subsearch! Supercharge your log analysis with enhanced correlation, efficient data exploration & real-time enrichment - all powered by Apache Calcite. Level up your observability game! https://bit.ly/3ZZWwlS
#OpenSearch #DataOps #OpenSource #PPL

Tired of babysitting DIY scraping scripts that crash the moment you scale?
You’re not alone.

PromptCloud takes the pain out of large-scale data extraction with fully managed, reliable solutions — so you can focus on what really matters: insights.

https://shorturl.at/EApIO

The MLOps skillset is evolving!

Reddit shows a clear trend: DataOps is emerging as a distinct specialization, separate from traditional DevOps.

Is your organization prepared for this shift?

Full blog post: https://dougortiz.blogspot.com/2025/05/the-quiet-revolution-in-mlops-dataops.html

What training programs are you implementing to address this emerging DataOps talent gap?

𝐇𝐚𝐫𝐝𝐜𝐨𝐝𝐢𝐧𝐠 𝐢𝐬 𝐇𝐮𝐫𝐭𝐢𝐧𝐠 𝐘𝐨𝐮𝐫 𝐓𝐞𝐚𝐦

Still hardcoding values in your data pipelines?
It’s slowing down scaling.
It creates more bugs.
It’s not enterprise-ready.

Learn how to parameterize Azure Data Factory like a pro - with real-world strategies you can apply immediately after training.

Save your team hours of rework.
Build once, reuse forever.

Live 6/11 - just $249.

1st 20 registrants get the bonuses!

Get your seat: https://entdna.com/product/advanced-azure-data-factory-adf-course-jun-2025/

Picked up "Python Polars the definitive guide" by Jeroen Janssens and Thijs Nieuwdorp. The polar bear was already used on another O'Reilly book, but the Iberian lynx is cool.

Never sure how tech books will pan out, but Jeroen's book data science at the command line was a good one, so I am hopeful.

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:

https://medium.com/inthepipeline/stop-duplicating-dashboards-just-to-preview-dbt-changes-21ff0ba8dd21

DBT: трансформация данных без боли

Привет! Меня зовут Кирилл Львов, я fullstack-разработчик в компании СберАналитика. В этой статье хочу рассказать про мощный инструмент трансформации данных — DBT (Data Build Tool). Сегодня любой средний и крупный бизнес хранит множество данных в разрозненных источниках (CRM, ERP, HRM, базы данных, файловые хранилища и т.д.). Каждая из этих систем самодостаточна и закрывает определённую боль бизнеса, но собрав данные из таких источников и стандартизировав их, нам открывается возможность анализировать данные, строить модели машинного обучения и принимать на основе этих данных управленческие решения. Для того чтобы реализовать такой подход строятся ELT (или ETL) процессы. ELT (Extract, Load, Transform) — это процесс, состоящий из трех этапов:

https://habr.com/ru/articles/907540/

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

Modern-Mainframe-Momentum: BMC-AMI und IBM-z17 legen die Messlatte höher

#AIOps @BMC #BMCAMIPlattform #DataOps #DevOps #GenAI #IntrusionDetection #künstlicheIntelligenz #Mainframe #MainframeTransformation #SecOps

https://netzpalaver.de/2025/04/11/modern-mainframe-momentum-bmc-ami-und-ibm-z17-legen-die-messlatte-hoeher/

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

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/

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