buff.ly/bDciXa6 Here’s the truth: data is only the “new oil” if you have a refinery that doesn’t explode. #DataOps #Digital #Data #ELT #Cloud #Economy

Searching through raw ROS bags is dead. 🛑 If you want faster dev cycles, basic search won't cut it anymore. The new standard for rosbag pipelines: 🔍 Condition-based filtering 🏷️ Combine metadata, tags & attributes ⚡️ Instant data pinpointing #ROS2 #Robotics #DataOHHI

🔮 What does the future of Industrial #DataOps look like? In a live interview with@arc_advisory, HighByte Chief Product Officer John Harrington sits down with Colin Masson to share his thoughts on this evolving approach to industrial data management. 🎙️In 15 minutes, theial DataOps is transforming IT/OT convergence - Key challenges organizations face in scaling data architectures - HighByte’s approach to industrial data modeling - Use cases driving digital transformation - What’s next for autonomous AI and edge‑to‑cloud integration Watch the full interview here. �bit.ly/4bJlYRKycUs

Most businesses have a "Data Literacy" problem. 📉 A spreadsheet of numbers is useless if your team can’t read the story behind them. I use my background in English to translate messy data into 99.9% accurate reports. Don't just collect data. Communicate it. �� #DataOps #Excede

@ARDEMinc AI extract → rules validate → exceptions → HITL verify → audit log. That closed loop is the only safe way to scale AI data capture without creating faster, more expensive errors. ARDEM gets it right. Solid approach! 🔄 #DataQuality #DataOps #HITL

Data Tip: Validation is your best friend. Don't let 'messy data' happen in the first place. Set up Data Validation (dropdowns/date ranges) before your team starts entering info. It’s easier to prevent a mistake than to clean 1,000 rows later. #ExcelTips #DataOps

Stop fighting with messy spreadsheets. 📊 If you're still doing manual data entry, you're losing time. I use XLOOKUP, Data Validation, and Pivot Dashboards to turn raw chaos into 99.9% accurate insights. Let the formulas do the heavy lifting. 🛠️ #ExcelTips #RemoteWork #DataOpkL

The safe model is a loop: AI extract → rules validate → exceptions → HITL verify → audit log. ARDEM scales volume while keeping traceability and QA sampling tight. Get the HITL QC Checklist. #DataOps #DataQuality #AIWorkflow #Automation #ARDEM

Fivetran renewal coming up? Good time to ask: what am I actually getting for this and what's it costing me at scale? #DataOps #ETL

@ChrisBergh Love the instant anomaly visibility in the open-source monitors — volume spikes and freshness issues flagged so clearly. This is exactly the kind of practical observability teams actually use. Diving into the demo now! 🔥 #DataQuality #DataOps

@datakitchen_io Instant volume anomaly detection + clean UI in the open-source demo? This is exactly the kind of practical observability teams actually need. Diving in right now! 🔥 #DataQuality #DataOps

Transform your #Snowflake environment with a full DataOps strategy—version control with Git, modeling with #dbt, automation with ow.ly/E3je50Y3YXi & scalable patterns for complex pipelines. A must‑read for data teams! ❄️📚 #DataOps �ow.ly/L9rI50Y3YXjxOc

2/5 Old world: when temperatures drifted, teams had to manually read PDFs, cross‑reference manufacturer specs, and coordinate via email between store staff, clinical teams, and ops. It worked occasionally—but at scale, it was slow, error‑prone, and maddening. #DataOps #HealthTech

With Syncari Synapse for Microsoft Excel, you can sync data in real time across OneDrive and SharePoint, making Excel part of your unified, governed data foundation. Clean, consistent, AI-ready data, with no manual work required. #Syncari #DataOps #MDM #AI #Excel Learn more 👇

📢 📰 Protobufs cut payloads, accelerate AI pipelines, and keep services speaking the same language 🚀 🗞 🔔 #AI #DataOps #OpenSource Referengithub.com/protocolbuffer…6NqDI] 🔄 Share 👍 React �aravind-r.comvF86oAvP #AravindRaghGr3A8Ngm

Stop wasting hours on manual copy-paste. SahlOps automates web scraping and turns websites into structured, business-ready data. Better inputs. Faster execution. Cleaner outputs. #WebScraping #Automation #DataOps

buff.ly/otnwbjz While data volume traditionally acted as an anchor, which is expensive to store and harder to move, the right infrastructure can turn that mass into momentum. #DataOps #enterprises #lakehouse

Join @DatagapsTeam webinar at: hubs.la/Q0482v0W0 Migration success needs more than “green jobs.” Learn validation lifecycle + layered reconciliation for predictable go-live. ✔ Practical steps; ✔ Clear metrics; ✔ Faster signoff. #DataMigration #DataTesting #DataOps

Excited to welcome Sam C. Yoo as Head of Partnerships at @DatagapsTeam. Sam will lead our partner ecosystem and expand solutions for ETL testing, BI validation, and data quality across Snowflake, Databricks & cloud platforms. #Datagaps #Partnerships #DataOps #DataQuality

@ChrisBergh DataOps isn’t optional anymore—it’s the backbone of reliable analytics. 🚀 Strong data quality + observability = faster insights, better decisions, and scalable growth. #DataOps #DataQuality